{"id":"W4411120445","doi":"10.2196/73617","title":"Digital Contingency Management for Substance Use Disorder Treatment: 12-Month Quasi-Experimental Design","year":2025,"lang":"en","type":"article","venue":"JMIR Mental Health","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Substance use; Contingency management; Medicine; Psychology; Computer science; Psychiatry; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01452773,0.001476898,0.002216236,0.001450565,0.001935574,0.001036334,0.002003839,0.002788509,0.01206272],"category_scores_gemma":[0.01308774,0.001547341,0.001378765,0.0007806181,0.002854249,0.001154271,0.001598382,0.001882132,0.001355015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001946968,"about_ca_system_score_gemma":0.004698566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928673,"about_ca_topic_score_gemma":0.00235732,"domain_scores_codex":[0.9862056,0.009345687,0.0009405912,0.001283158,0.001193221,0.001031667],"domain_scores_gemma":[0.9905716,0.003081116,0.002536824,0.001723989,0.0008329977,0.001253444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"nonrandomized_trial","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.4455253,0.4491304,0.01284121,0.002217887,0.0007937078,0.0001506193,0.00193416,0.002552712,0.008773474,0.001940005,0.002112723,0.07202774],"study_design_scores_gemma":[0.2490492,0.7144433,0.02281474,0.0001783942,0.0003853083,0.00005042393,0.000383665,0.003825974,0.002587978,0.00123527,0.004979628,0.00006598162],"study_design_candidate":"nonrandomized_trial","study_design_consensus":"nonrandomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7744794,0.0003799928,0.008171164,0.0004883389,0.0008840357,0.2129779,0.000744497,0.0001625349,0.00171217],"genre_scores_gemma":[0.478456,0.0002801653,0.02944644,0.0008279118,0.0005919195,0.4866521,0.0003189724,0.00001403049,0.00341236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01452773,"threshold_uncertainty_score":0.07683092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04094711550773418,"score_gpt":0.3498643786854385,"score_spread":0.3089172631777043,"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."}}