{"id":"W4407142188","doi":"10.1007/s12103-025-09794-y","title":"Boosting Drug Treatment Attendance Through Police-Sent Text Message Nudges: A Randomized Controlled Trial with Drug-Positive Arrestees","year":2025,"lang":"en","type":"article","venue":"American Journal of Criminal Justice","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"WSP (Canada)","funders":"","keywords":"Attendance; Drug; Psychology; Boosting (machine learning); Randomized controlled trial; Psychiatry; Medicine; Clinical psychology; Internal medicine; Computer science; Political science; Artificial intelligence; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006157646,0.0004892467,0.0034305,0.000275486,0.0001974868,0.00005151738,0.0001763,0.00003617862,0.00003335613],"category_scores_gemma":[0.0004492959,0.0002726246,0.0008568554,0.0004348872,0.0006801375,0.000237201,0.0000205139,0.0003010925,0.000008136598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004224982,"about_ca_system_score_gemma":0.0006335833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007261551,"about_ca_topic_score_gemma":0.0001291539,"domain_scores_codex":[0.99689,0.0005401368,0.001172112,0.0003156023,0.0006149806,0.0004671432],"domain_scores_gemma":[0.9932712,0.004302798,0.001449688,0.0002876071,0.0004889077,0.0001998486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9610124,0.0008113671,0.0007655311,0.00008215319,0.003543522,0.0005804311,0.02727382,0.00003818276,0.00008970061,0.0003279694,0.000344885,0.005130057],"study_design_scores_gemma":[0.8541341,0.002801546,0.0005020676,0.001291731,0.03684277,0.0002735255,0.1025907,0.00004549537,0.001148581,0.00002787358,0.0001074606,0.000234111],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9840732,0.002873829,0.001060789,0.003163972,0.0005783666,0.002166703,0.000002900211,0.00003805272,0.00604225],"genre_scores_gemma":[0.9891903,0.001200733,0.003879006,0.001797327,0.000600441,0.0001257877,0.000004365139,0.00003588997,0.003166099],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1068783,"threshold_uncertainty_score":0.9999726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404303687970233,"score_gpt":0.3123389841039551,"score_spread":0.2982959472242527,"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."}}