{"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":"bb7de58b1c6f","filters":{"venue":"Proceedings of the International Conference on Condition Monitoring and Asset Management"}},"results":[{"id":"W4391227736","doi":"10.1784/cm2023.5d2","title":"Simulation of the behaviour of engines in their current state of wear","year":2023,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Condition Monitoring and Asset Management","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Computer science; Exploit; Upload; State (computer science); Machine learning; Artificial intelligence; Systems engineering; Engineering; Computer security; World Wide Web","authors":[{"name":"Abdellah Madane","is_ca":false},{"name":"JLacaillerôme Lacaille","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04226895201591698,"gpt":0.311674650544879,"spread":0.2694056985289621,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001514492,0.00005669003,0.00008025351,0.0001015973,0.0000259005,0.00002081,0.0004790651,0.000009221498,0.00000131721],"category_scores_gemma":[0.00001328038,0.00003777539,0.00003606948,0.0002683362,0.00003516088,0.0001110887,0.0002324488,0.0000602586,2.656809e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001176427,"about_ca_system_score_gemma":0.000006571858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005559139,"about_ca_topic_score_gemma":4.535239e-7,"domain_scores_codex":[0.9993464,0.000005068365,0.0002261112,0.0001117783,0.0002527462,0.00005784973],"domain_scores_gemma":[0.9994143,0.0000454151,0.0002708953,0.00008274869,0.0001769885,0.000009625886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004140205,0.0004430072,0.2192358,0.0005460428,0.0001326411,3.497679e-7,0.001500033,0.1094259,0.06617814,0.4865805,0.0003855763,0.1155307],"study_design_scores_gemma":[0.0003151793,0.00004531381,0.6364553,0.0009950165,0.00001278601,2.498272e-7,0.0002555514,0.2087598,0.1244118,0.02852484,0.0001291059,0.00009499191],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982046,0.000007331185,0.0004703805,0.0006012016,0.0002852213,0.0001606952,0.00001744371,0.00001034938,0.0002428119],"genre_scores_gemma":[0.9996957,0.00008465465,0.000108593,0.000002641378,0.00001705165,0.00002335971,0.000001308907,0.00000227193,0.00006444949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4580556,"threshold_uncertainty_score":0.1540436,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4391227673","doi":"10.1784/cm2023.2e2","title":"Rotary-percussive drill bit condition prediction using traditional feature engineering and neural network-based feature extraction","year":2023,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Condition Monitoring and Asset Management","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Laurentian University; Queen's University","funders":"","keywords":"Artificial neural network; Feature extraction; Drill; Feature (linguistics); Computer science; Artificial intelligence; Extraction (chemistry); Pattern recognition (psychology); Engineering; Mechanical engineering","authors":[{"name":"Katelyn E Newman","is_ca":true},{"name":"Chris K. Mechefske","is_ca":true},{"name":"Markus Timusk","is_ca":true},{"name":"Dustin Helm","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02476692056686633,"gpt":0.2455237967554764,"spread":0.2207568761886101,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001536858,0.0002016691,0.0001378094,0.0002400069,0.000139092,0.0001505293,0.000138762,0.0000923911,0.000009298976],"category_scores_gemma":[0.00001423847,0.0001876174,0.0000535218,0.0002272762,0.00002968942,0.000318846,0.00004099635,0.0002838136,0.000001260375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001013757,"about_ca_system_score_gemma":0.000005739729,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000021898,"about_ca_topic_score_gemma":1.712745e-7,"domain_scores_codex":[0.9990193,0.000004370134,0.0001795571,0.0002335847,0.0003656276,0.000197557],"domain_scores_gemma":[0.9996441,0.00004065854,0.00008503723,0.00006039749,0.0001118341,0.00005795824],"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":[0.00002310675,0.00001801839,0.003683577,0.0003105456,0.0001695656,0.000004139878,0.00006009466,0.9432027,0.04031979,0.007989207,0.003112891,0.001106312],"study_design_scores_gemma":[0.0003397502,0.00003167196,0.02839956,0.0007027683,0.00004981829,0.00001491826,0.000139565,0.9642289,0.004916304,0.0005130919,0.0004875888,0.0001760785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932852,0.00005259251,0.001184567,0.0007895656,0.002440222,0.0003019285,0.0001245911,0.0004318684,0.001389482],"genre_scores_gemma":[0.9980928,0.0001542381,0.0009170289,0.00001424694,0.0005079377,0.00004497367,0.00008813407,0.00002753214,0.0001531393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03540349,"threshold_uncertainty_score":0.7650814,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7125685750","doi":"10.1784/cm2025.2d4","title":"Using Machine Learning Tools to Enhance Signal Analysis Efficiency in Heat Exchanger Tube Inspection","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Condition Monitoring and Asset Management","topic":"Non-Destructive Testing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"MPB Technologies & Communications (Canada)","funders":"","keywords":"Bundle; Heat exchanger; Tube (container); Eddy-current testing; Task (project management); SIGNAL (programming language); Boiler (water heating)","authors":[{"name":"Etienne Provençal","is_ca":true},{"name":"Vahid Shahsavari","is_ca":true},{"name":"Sergio Loffredo","is_ca":true},{"name":"David Aube","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03116770138591909,"gpt":0.3184094980254639,"spread":0.2872417966395448,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002105522,0.0001154248,0.0001303278,0.0005878359,0.00007380539,0.0001139773,0.0002166266,0.00002968666,0.0000125],"category_scores_gemma":[0.00004127585,0.000109634,0.00003777761,0.0005800949,0.00002339353,0.000163867,0.0001178314,0.000163726,7.284934e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002072898,"about_ca_system_score_gemma":0.000004741828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005134676,"about_ca_topic_score_gemma":0.00000347859,"domain_scores_codex":[0.9992537,0.000006353114,0.000203673,0.0001979499,0.0002254585,0.0001128924],"domain_scores_gemma":[0.9997163,0.00002958809,0.00004958514,0.00005109188,0.0001334246,0.00001994938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006209549,0.000107584,0.3305674,0.0003245123,0.0006217597,0.000002524208,0.0003695021,0.01775611,0.538215,0.1073483,0.00009695529,0.004528283],"study_design_scores_gemma":[0.0004429186,0.0001317796,0.2458502,0.002602477,0.0002697318,0.000003155421,0.0009260589,0.2166404,0.5044029,0.02809851,0.0001033809,0.0005285293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784541,0.00001380109,0.0058587,0.000175923,0.0002399235,0.0001948092,0.000006574462,0.0001544447,0.01490169],"genre_scores_gemma":[0.9910015,0.00003484244,0.008805939,0.00001136355,0.00003099011,0.00004200262,0.000003046615,0.000007159236,0.00006317599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1988843,"threshold_uncertainty_score":0.4470744,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7125684170","doi":"10.1784/cm2025.1e2","title":"Monitoring compliant mechanisms for extreme robot applications","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Condition Monitoring and Asset Management","topic":"Piezoelectric Actuators and Control","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Observability; Robot; Offset (computer science); Boom; Work (physics); Mechanism (biology); Simplicity; Metric (unit)","authors":[{"name":"Michael Lipsett","is_ca":true},{"name":"Brandon L. Martens","is_ca":true},{"name":"Basia Ofovwe","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02561258662188046,"gpt":0.2667988967850788,"spread":0.2411863101631984,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009615818,0.0001122805,0.0001070096,0.0001210021,0.0001104667,0.0001004986,0.0003003996,0.00003260159,0.000005525114],"category_scores_gemma":[0.000008442077,0.00009808328,0.00004798629,0.000102553,0.00001702662,0.00009208368,0.00005792065,0.00008440243,0.000001407638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008122825,"about_ca_system_score_gemma":0.000006330821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001828537,"about_ca_topic_score_gemma":8.702619e-8,"domain_scores_codex":[0.9993583,0.00000138049,0.0001816837,0.0001563013,0.0001825175,0.0001198048],"domain_scores_gemma":[0.9996582,0.00002731579,0.00006717251,0.00006391353,0.0001593406,0.00002409084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002887787,0.0000567795,0.001600702,0.0002569993,0.0003458092,1.894108e-7,0.00003146326,0.000331596,0.07853424,0.8042672,0.0009403497,0.1136058],"study_design_scores_gemma":[0.003120838,0.0001683205,0.02532648,0.002833644,0.0003970369,0.00000473281,0.002354935,0.1288181,0.484515,0.3373382,0.01423646,0.0008863238],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1789529,0.000344883,0.6824676,0.004315817,0.005712179,0.003437082,0.000132686,0.0006118215,0.124025],"genre_scores_gemma":[0.996574,0.0001494726,0.001885522,0.00001629428,0.0001106755,0.0004897696,0.00000288359,0.000008756369,0.000762641],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8176211,"threshold_uncertainty_score":0.399972,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7125709645","doi":"10.1784/cm2025.1e3","title":"Assessing RPAS safety and reliability: a Canadian system safety analysis framework","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Condition Monitoring and Asset Management","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"University of Alberta","funders":"","keywords":"System safety; Observability; Reliability (semiconductor); Fault tree analysis; Work (physics); Key (lock); Failure mode and effects analysis; Air traffic control","authors":[{"name":"S. Bhanwala","is_ca":true},{"name":"M. Dubrule","is_ca":true},{"name":"Zahra Samadikhoshkho","is_ca":true},{"name":"M.G. Lipsett","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01029910483936401,"gpt":0.2551448190051993,"spread":0.2448457141658353,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002507136,0.0001235676,0.00014973,0.0003866888,0.0001669356,0.0002864782,0.0002050048,0.00005401007,0.00001860705],"category_scores_gemma":[0.00002470975,0.0001108328,0.0000445528,0.0003556665,0.00003601562,0.0002319167,0.00008115655,0.0001252358,8.18027e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002207182,"about_ca_system_score_gemma":0.00001096009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001739076,"about_ca_topic_score_gemma":0.00003134169,"domain_scores_codex":[0.9991975,0.000005702736,0.0002514089,0.0002048511,0.0002170073,0.0001235615],"domain_scores_gemma":[0.9996273,0.00003242876,0.0000751888,0.00008231496,0.0001378294,0.00004492917],"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":[0.00003895829,0.00002405087,0.05351196,0.0007825488,0.001273399,0.000001406168,0.0001660686,0.03563706,0.00008178905,0.8968047,0.0005291291,0.01114895],"study_design_scores_gemma":[0.0007343399,0.00002853647,0.4010073,0.003008873,0.001111698,0.000001320386,0.007355021,0.5731195,0.0008503455,0.005492488,0.006804951,0.0004856706],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.471206,0.00008166053,0.04289813,0.00511654,0.002699472,0.0009251358,0.00008431976,0.0004137345,0.476575],"genre_scores_gemma":[0.9976031,0.0002269724,0.001563855,0.00002422504,0.00004056339,0.00001800211,0.00001477694,0.00000658401,0.0005018818],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8913122,"threshold_uncertainty_score":0.451963,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W7125824778","doi":"10.1784/cm2025.1e4","title":"Tomography for rotating equipment","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Condition Monitoring and Asset Management","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Detector; Collimated light; Image stitching; Fourier transform; Image processing; Feature (linguistics); Image resolution; Artifact (error); Identification (biology)","authors":[{"name":"Odessa Bauer","is_ca":true},{"name":"Steven Knudsen","is_ca":true},{"name":"Michael Lipsett","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01592012785010529,"gpt":0.2828994583242388,"spread":0.2669793304741335,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008890791,0.00008621416,0.00007234271,0.0001203401,0.00008164548,0.00007582681,0.0001880269,0.00001654774,0.000005409962],"category_scores_gemma":[0.00001157461,0.00007581067,0.00003969672,0.00008408883,0.00002173821,0.0001238793,0.00006119166,0.00006664465,5.012395e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000312036,"about_ca_system_score_gemma":0.000002696479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.545227e-7,"about_ca_topic_score_gemma":7.344465e-8,"domain_scores_codex":[0.9994959,0.000001011995,0.0001459503,0.000118311,0.0001431495,0.00009570025],"domain_scores_gemma":[0.9997632,0.00002158466,0.0000517568,0.0000382478,0.0001104834,0.00001471024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005431581,0.00006562524,0.0201008,0.000891738,0.0004999129,4.546187e-7,0.0001977404,0.00194735,0.04192616,0.8390509,0.002453425,0.09281156],"study_design_scores_gemma":[0.003477614,0.0001878638,0.07458609,0.00748186,0.0002813962,0.000003881786,0.007025983,0.130653,0.5116096,0.24372,0.0199948,0.0009779857],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8535656,0.0001004772,0.009200148,0.001970947,0.002924412,0.0007880363,0.00004108984,0.0002213894,0.1311879],"genre_scores_gemma":[0.9965616,0.00006481291,0.002617079,0.0000300793,0.00005507901,0.0001243483,0.000003022342,0.000006122324,0.0005378641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5953309,"threshold_uncertainty_score":0.3091469,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}