{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005959477,0.0002852839,0.0006293455,0.0002427437,0.0001227573,0.00001254713,0.0003763449,0.0002813273,0.0004344906],"category_scores_gemma":[0.0003365673,0.0003229679,0.000112842,0.000285316,0.0002243813,0.0005991959,0.0002009458,0.0003838456,0.000009291306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005986706,"about_ca_system_score_gemma":0.00006900367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008428786,"about_ca_topic_score_gemma":0.0002748221,"domain_scores_codex":[0.9982222,0.00008362719,0.0004344168,0.0004504804,0.0003762616,0.0004330483],"domain_scores_gemma":[0.9984655,0.0004443033,0.0002933572,0.0005135601,0.00009445083,0.000188822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005099313,0.0007750379,0.9510503,0.000217252,0.00008160125,0.00006551515,0.006467715,0.0001687632,0.03533876,0.0009237253,0.00001352122,0.004387834],"study_design_scores_gemma":[0.0207108,0.004735087,0.5628033,0.00182368,0.0007220516,0.0002121804,0.01216791,0.01111465,0.09751756,0.2843614,0.0004363437,0.00339498],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967498,0.0000405712,0.0002687433,0.0001393514,0.00001064189,0.0004010049,0.00007478563,0.0001277833,0.002187373],"genre_scores_gemma":[0.9761597,0.00009991186,0.02070619,0.00002232423,0.000009599447,0.000003649506,0.000006603332,0.00003092235,0.002961083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.388247,"threshold_uncertainty_score":0.9999222,"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."}}