{"id":"W3205237953","doi":"10.1115/omae2021-62785","title":"Research on Kick Detection Model Based on Machine Learning","year":2021,"lang":"en","type":"article","venue":"Volume 10: Petroleum Technology","topic":"Drilling and Well Engineering","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Support vector machine; Warning system; Artificial neural network; Computer science; ALARM; Constant false alarm rate; Artificial intelligence; Machine learning; Lag; Random forest; Data mining; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066156,0.0007639643,0.0008916248,0.001121481,0.0004909535,0.001156102,0.001037691,0.000729389,0.001498982],"category_scores_gemma":[0.002265419,0.00037032,0.0006789989,0.0007017961,0.0003868597,0.001712728,0.0004416266,0.0009576702,0.0002907931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009872124,"about_ca_system_score_gemma":0.001038513,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01250207,"about_ca_topic_score_gemma":0.004377837,"domain_scores_codex":[0.9995292,0.00009538546,0.00003337814,0.0001447353,0.0001289329,0.00006831828],"domain_scores_gemma":[0.99923,0.0003736018,0.00008318756,0.00002998115,0.0002513163,0.00003195759],"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":[0.000135721,0.0001068666,0.005518855,0.0001104061,0.00007941979,0.0001197871,0.00008490827,0.8976711,0.003716515,0.00342678,0.0008775595,0.08815205],"study_design_scores_gemma":[0.000001271115,0.000009936395,0.0002305018,0.000002931995,0.000004283403,0.000005503593,0.000003962959,0.999183,0.0002092869,0.000303462,0.00004336448,0.000002493419],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1262461,0.0009746892,0.8673669,0.0004213142,0.0001060745,0.00008274829,0.00006517798,0.0008668065,0.003870123],"genre_scores_gemma":[0.9781824,0.0003269582,0.01927425,0.00004946712,0.00002751134,0.00006874814,0.00007413582,0.00001842432,0.001977978],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01250207,"threshold_uncertainty_score":0.02485859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01469223042065135,"score_gpt":0.2416623794928286,"score_spread":0.2269701490721773,"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."}}