{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":6,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":6,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"f53f356ac1d0","filters":{"venue":"SPE Intelligent Energy International"}},"results":[{"id":"W1975369753","doi":"10.2118/150197-ms","title":"Permanent Distributed Temperature Sensing (DTS) Technology Applied In Mature Fields: A Forties Field Case Study","year":2012,"lang":"en","type":"article","venue":"SPE Intelligent Energy International","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Apache (Canada)","funders":"","keywords":"Workflow; Software deployment; Gas lift; Petroleum engineering; Computer science; Optical fiber; Lift (data mining); Process engineering; Engineering; Real-time computing; Telecommunications; Data mining","authors":[{"name":"Craig Costello","is_ca":true},{"name":"Peter Sordyl","is_ca":true},{"name":"C. Hughes","is_ca":true},{"name":"George Brown","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.006716164259742816,"gpt":0.218676829245536,"spread":0.2119606649857932,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001256525,0.0005463377,0.0002441094,0.0008258782,0.001360734,0.0008222069,0.0007021908,0.0008950146,0.001307304],"category_scores_gemma":[0.001642835,0.0002146181,0.0002271625,0.0007821803,0.0008200981,0.0008498236,0.0006288146,0.0004831305,0.0001964818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0015284,"about_ca_system_score_gemma":0.001284987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02490501,"about_ca_topic_score_gemma":0.05998422,"domain_scores_codex":[0.9993544,0.0001508452,0.00003931011,0.0001341533,0.0002097022,0.0001116292],"domain_scores_gemma":[0.9984627,0.0005168958,0.0002062346,0.0001454817,0.0005249038,0.0001438068],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002667738,0.005209601,0.2414217,0.001669331,0.0001714022,0.07670233,0.02376026,0.09589452,0.1798165,0.0102266,0.007679115,0.354781],"study_design_scores_gemma":[0.0004576845,0.02045136,0.3692868,0.0007452384,0.0003049563,0.02251026,0.05656011,0.1704575,0.2510583,0.008642305,0.09903545,0.0004900395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876507,0.000123773,0.007556427,0.0001904062,0.00001025202,0.0002371176,0.0001945828,0.0001043844,0.003932396],"genre_scores_gemma":[0.9856844,0.0001131742,0.01118336,0.00003413126,0.000005642885,0.00006955362,0.00009567264,0.00001107814,0.002803007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02490501,"threshold_uncertainty_score":0.04952008,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2027518424","doi":"10.2118/149959-ms","title":"Establishing a Digital Oil Field Data Architecture Suitable for Current and Foreseeable Business Requirements","year":2012,"lang":"en","type":"article","venue":"SPE Intelligent Energy International","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Microsemi (Canada)","funders":"","keywords":"Computer science; Downstream (manufacturing); Upstream (networking); Field (mathematics); Data science; Systems engineering; Vendor; Standardization; Business requirements; Risk analysis (engineering); Business process; Engineering; Telecommunications; Business","authors":[{"name":"R. Cramer","is_ca":false},{"name":"Johan Krebbers","is_ca":false},{"name":"Eric van Oort","is_ca":false},{"name":"Tony Lanson","is_ca":false},{"name":"Bob Palermo","is_ca":false},{"name":"Ajith Murthy","is_ca":false},{"name":"Peter Duncan","is_ca":true},{"name":"Tim Sowell","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.05912149623118115,"gpt":0.3215445977882222,"spread":0.2624231015570411,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009724641,0.0003319163,0.0004784658,0.001938345,0.00125533,0.007964447,0.002517271,0.001574124,0.002134016],"category_scores_gemma":[0.009153049,0.0007146509,0.0007037756,0.001553331,0.001597588,0.008371384,0.004799483,0.00217363,0.001348743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002492492,"about_ca_system_score_gemma":0.005566696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00589983,"about_ca_topic_score_gemma":0.006173027,"domain_scores_codex":[0.9959891,0.0007301171,0.0008141295,0.0006097106,0.001386864,0.000469968],"domain_scores_gemma":[0.9943462,0.0006909687,0.0003640508,0.001886466,0.002197353,0.0005148565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006241825,0.0006574642,0.01890029,0.0006341711,0.00012498,0.0009692049,0.001968901,0.1005905,0.04997198,0.5393104,0.02383148,0.2624165],"study_design_scores_gemma":[0.0001354936,0.0003123329,0.002671479,0.0005403209,0.0001096295,0.0006093984,0.001903538,0.5823926,0.05824979,0.09242028,0.2604871,0.0001680341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04651513,0.0002664383,0.9340048,0.002750172,0.000138422,0.0005435652,0.0004179575,0.003889005,0.0114745],"genre_scores_gemma":[0.2790396,0.0003375652,0.7106333,0.0004901629,0.00006226465,0.0003572073,0.001974506,0.0003835063,0.006721772],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009724641,"threshold_uncertainty_score":0.05142945,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2043737049","doi":"10.2118/150431-ms","title":"A Stack Model and Capabilities Approach to Investigate Integrated Operations Across Different Industrial Sectors – O&amp;G Industry versus Aviation, Military and Medicine","year":2012,"lang":"en","type":"article","venue":"SPE Intelligent Energy International","topic":"Technology Assessment and Management","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Petro-Canada","funders":"","keywords":"Aviation; Stack (abstract data type); Military aviation; Petroleum industry; Enhanced Data Rates for GSM Evolution; Engineering; Computer science; Operations research; Telecommunications; Aerospace engineering; Environmental engineering","authors":[{"name":"Sjur Larsen","is_ca":false},{"name":"Knut S. Bjørkevoll","is_ca":false},{"name":"Andrew K. Gibson","is_ca":false},{"name":"Vidar Gunnerud","is_ca":false},{"name":"Dag Ola Lien","is_ca":false},{"name":"Ketil Thorvik","is_ca":false},{"name":"Arild N. Nystad","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06053070980947373,"gpt":0.2908679056711977,"spread":0.230337195861724,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001615217,0.001392339,0.0006021277,0.00271829,0.001122064,0.003683586,0.001381776,0.001775236,0.007795813],"category_scores_gemma":[0.002854617,0.0004001059,0.00158899,0.002013504,0.002358055,0.006226843,0.003293587,0.002083197,0.0005445217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003558601,"about_ca_system_score_gemma":0.002823543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01821179,"about_ca_topic_score_gemma":0.01049654,"domain_scores_codex":[0.9990664,0.0004114443,0.00003554858,0.0001058615,0.000179345,0.0002014594],"domain_scores_gemma":[0.9986866,0.0006792654,0.0001484227,0.00007508561,0.0002142742,0.0001963327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005805504,0.0001290751,0.002978512,0.00006527565,0.00007674572,0.0002205637,0.0004406527,0.2565395,0.001204331,0.7271672,0.001023894,0.01009628],"study_design_scores_gemma":[0.0000190188,0.0001555616,0.001370587,0.00006765292,0.00003552305,0.00007326629,0.001161768,0.7178401,0.000520125,0.2734217,0.005294168,0.00004058817],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1297968,0.000769771,0.7329753,0.0035956,0.00009843263,0.0002451518,0.0004632722,0.0002104433,0.1318452],"genre_scores_gemma":[0.9243787,0.0006829333,0.06453294,0.0002136394,0.0000616935,0.0003311045,0.0001982074,0.00007316349,0.009527669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01821179,"threshold_uncertainty_score":0.03621155,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2055543202","doi":"10.2118/150477-ms","title":"SAGD Field Trial for a New Intelligent-Well Completions Strategy to Increase Thermal EOR Recoveries","year":2012,"lang":"en","type":"article","venue":"SPE Intelligent Energy International","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"Injector; Petroleum engineering; Steam-assisted gravity drainage; Oil field; Oil well; Engineering; Enhanced oil recovery; Completion (oil and gas wells); Steam injection; Process engineering; Environmental science; Mechanical engineering; Oil sands; Materials science","authors":[{"name":"Joel Shaw","is_ca":false},{"name":"Mark Bedry","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04737732334566963,"gpt":0.3168484854841784,"spread":0.2694711621385087,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001268966,0.0003898,0.0003965487,0.0004191957,0.000563536,0.0007215246,0.0008545886,0.000460205,0.002425678],"category_scores_gemma":[0.0005727933,0.0001692049,0.0003656147,0.0002773574,0.0005008431,0.0004824538,0.0004472547,0.0006845311,0.0003989698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329625,"about_ca_system_score_gemma":0.001529558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01314232,"about_ca_topic_score_gemma":0.02131296,"domain_scores_codex":[0.9994424,0.00006824208,0.00001873848,0.00008475784,0.0003008861,0.00008507042],"domain_scores_gemma":[0.9994659,0.00004852044,0.00005666753,0.0000663426,0.0002554344,0.0001070595],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.002978817,0.002374755,0.01049442,0.0002880374,0.00006139089,0.0006450295,0.000414397,0.02740288,0.8576519,0.002130417,0.003135983,0.09242201],"study_design_scores_gemma":[0.0007722614,0.01965342,0.02770257,0.00002962066,0.00006530223,0.0001657285,0.0005427573,0.07103683,0.856243,0.0004780013,0.02320047,0.0001101066],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672434,0.00008932222,0.02473985,0.000201888,0.00004064783,0.0006611907,0.0003317715,0.0009721571,0.005719645],"genre_scores_gemma":[0.9759154,0.00003942524,0.01950124,0.00005835898,0.000004766463,0.00008258145,0.0002523505,0.00005462029,0.004091099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01314232,"threshold_uncertainty_score":0.02613163,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2054012248","doi":"10.2118/150424-ms","title":"Intelligent Field Management: Real Time Monitoring and Proactive Optimization of Greater Ekofisk Area","year":2012,"lang":"en","type":"article","venue":"SPE Intelligent Energy International","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"ConocoPhillips (Canada)","funders":"ConocoPhillips","keywords":"Software; Real-time computing; Computer science; Production (economics); Field (mathematics); Systems engineering; Engineering; Reliability engineering; Operating system","authors":[{"name":"Amit Madahar","is_ca":false},{"name":"Alannah McIntosh","is_ca":false},{"name":"Ilnur Musatfin","is_ca":true},{"name":"Nick McAlonan","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02045103563784887,"gpt":0.2639627141793605,"spread":0.2435116785415117,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009176806,0.0009369132,0.0006478686,0.001422185,0.000373626,0.001404655,0.001093782,0.0005143395,0.004778722],"category_scores_gemma":[0.00149892,0.0003730559,0.0002819295,0.0006932783,0.0002880034,0.001224872,0.0006082411,0.0003136437,0.0007295315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00105729,"about_ca_system_score_gemma":0.001030219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01149622,"about_ca_topic_score_gemma":0.01185491,"domain_scores_codex":[0.9994193,0.0001080974,0.00003349366,0.0002132623,0.0001785891,0.00004721948],"domain_scores_gemma":[0.9991068,0.0003095441,0.0001809925,0.0001232367,0.0002078165,0.00007152615],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008051124,0.0005122728,0.01955174,0.0002831528,0.00007606562,0.0002932335,0.0006331663,0.4738443,0.03889366,0.001771723,0.01705879,0.4462768],"study_design_scores_gemma":[0.00005038756,0.000101182,0.008272316,0.00002648748,0.00002381557,0.00003476346,0.0001107508,0.9739302,0.01018489,0.001205046,0.006023409,0.00003680805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3237261,0.0004285732,0.5922691,0.000589404,0.0001243006,0.0004568451,0.003606502,0.05997176,0.0188274],"genre_scores_gemma":[0.8618898,0.0001164676,0.131617,0.00007205547,0.00002495106,0.0001541133,0.001077005,0.0006214998,0.004427139],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01149622,"threshold_uncertainty_score":0.02285862,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2041438976","doi":"10.2118/150214-ms","title":"Efficient Use Of High-Frequency Data Through Production Data Management System Implementation","year":2012,"lang":"en","type":"article","venue":"SPE Intelligent Energy International","topic":"Reservoir Engineering and Simulation Methods","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"","keywords":"SCADA; Computer science; Workflow; Data management; Master data; Production (economics); Database; Data acquisition; Field (mathematics); Task (project management); Real-time computing; Data visualization; Macro; Production manager; Visualization; Operating system; Data mining; Systems engineering; Engineering","authors":[{"name":"A.. Creemer","is_ca":false},{"name":"Ralf Holy","is_ca":false},{"name":"F. X. Fuehrer","is_ca":false},{"name":"Mahyar Mohajer","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1006340607485272,"gpt":0.3440380838149188,"spread":0.2434040230663916,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007386634,0.001256744,0.0006423132,0.002322045,0.001017291,0.005229402,0.003251709,0.0005733302,0.007849001],"category_scores_gemma":[0.01421722,0.0009812677,0.0004482056,0.001723112,0.00068052,0.003128347,0.002309097,0.00136222,0.004610344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002275192,"about_ca_system_score_gemma":0.004713824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009278768,"about_ca_topic_score_gemma":0.004915385,"domain_scores_codex":[0.9936073,0.001290548,0.0005304387,0.001334453,0.002670319,0.0005670743],"domain_scores_gemma":[0.9807069,0.004866505,0.001176514,0.00606784,0.00629119,0.0008910759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001407664,0.001598929,0.03050595,0.0006633796,0.0001984991,0.0009590736,0.002850094,0.02791618,0.08305923,0.006197662,0.06716588,0.7774775],"study_design_scores_gemma":[0.0008238658,0.001155131,0.0536589,0.0004675573,0.0002031039,0.0005216973,0.001793784,0.4213994,0.2563062,0.006029596,0.2571744,0.0004663898],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1649944,0.0003752211,0.6566081,0.001662773,0.0003920113,0.003182453,0.003281207,0.1489751,0.0205287],"genre_scores_gemma":[0.6291575,0.0002115586,0.3470567,0.0003548042,0.0001159378,0.001132786,0.007373385,0.004247752,0.01034954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009278768,"threshold_uncertainty_score":0.03906476,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}