{"id":"W2784658044","doi":"10.3968/9885","title":"The Research and Application of Low Density Cement Slurry System at Low Temperature in Daqing Oilfield","year":2017,"lang":"en","type":"article","venue":"Advances in petroleum exploration and development","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cement; Slurry; Materials science; Petroleum engineering; Composite material; Polymer; Permeability (electromagnetism); Drop (telecommunication); Geotechnical engineering; Geology; Chemistry; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004710551,0.00008304801,0.0001095915,0.0000808591,0.0003095818,0.00006296286,0.00008875574,0.00004507446,2.358873e-7],"category_scores_gemma":[0.00002493,0.00006969082,0.000005430712,0.00005395624,0.00004344638,0.0002898659,0.00006146336,0.000135397,0.000001755216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001201939,"about_ca_system_score_gemma":0.00001246643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000710394,"about_ca_topic_score_gemma":0.0003948604,"domain_scores_codex":[0.9993094,0.00001479923,0.0002212284,0.000141848,0.0001576899,0.0001550796],"domain_scores_gemma":[0.9996531,0.00006392893,0.00003767892,0.0001788243,0.00003513485,0.00003131798],"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":[0.00008037533,0.00004155271,0.02455322,0.001489896,0.00002123566,0.000008244941,0.004580988,0.862893,0.01192458,0.004806148,0.00003225059,0.08956844],"study_design_scores_gemma":[0.001355251,0.00005459665,0.01620489,0.00132518,0.000002814678,0.000006832981,0.005438469,0.8573917,0.1067719,0.0004099708,0.01058161,0.0004567999],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9593078,0.003515416,0.03556092,0.0001188547,0.0003245485,0.0002236149,0.00000103514,0.00005660572,0.0008912161],"genre_scores_gemma":[0.9966936,0.002568375,0.0005812364,0.000002621121,0.00002028003,0.0000823271,0.000004767179,0.00000825035,0.00003856502],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09484736,"threshold_uncertainty_score":0.284191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625669954280321,"score_gpt":0.2615966930529018,"score_spread":0.2453399935100986,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}