{"id":"W40055348","doi":"","title":"Predicting treatment outcome in chemically dependent women: A test of Marlatt and Gordon's Relapse Model.","year":2000,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outcome (game theory); Test (biology); Internal medicine; Computer science; Oncology; Medicine; Mathematics; Biology; Mathematical economics","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":[0.0100908,0.0005768901,0.0007162181,0.000969642,0.0006306664,0.0008482545,0.00114898,0.0008308348,0.001840479],"category_scores_gemma":[0.03425724,0.0003616588,0.00141106,0.0005650276,0.0005821496,0.001014343,0.001240082,0.001620383,0.0003464418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000559883,"about_ca_system_score_gemma":0.001231638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008839564,"about_ca_topic_score_gemma":0.007782896,"domain_scores_codex":[0.9966094,0.002241872,0.0001708716,0.000246049,0.0005457144,0.0001861244],"domain_scores_gemma":[0.9862831,0.01021923,0.001179758,0.0009168123,0.0007963057,0.0006048337],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003353164,0.0003551086,0.9762556,0.00002747606,0.0001656715,0.0001034509,0.0005203916,0.0006255314,0.00009307414,0.0002593723,0.0003004825,0.02095843],"study_design_scores_gemma":[0.000222494,0.003143623,0.8832293,0.0001548701,0.0004596306,0.0009855421,0.00253265,0.1029579,0.0003401846,0.004347027,0.001571351,0.00005542541],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954189,0.0002897661,0.002111152,0.001046389,0.00002606858,0.0001212007,0.0001326033,0.00001783272,0.0008359462],"genre_scores_gemma":[0.9969843,0.00012047,0.002177701,0.0001565056,0.00001467447,0.00009922423,0.000186197,0.000005560736,0.0002554383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0100908,"threshold_uncertainty_score":0.05336589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06697021376643184,"score_gpt":0.3074660809327071,"score_spread":0.2404958671662752,"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."}}