{"id":"W4415568745","doi":"10.1515/med-2025-1307","title":"Motivational interviewing for alcohol use reduction in Thai patients","year":2025,"lang":"en","type":"article","venue":"Open Medicine","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; International Council for Canadian Studies","keywords":"Motivational interviewing; Alcohol consumption; Alcohol; Reduction (mathematics); Substance use; Consumption (sociology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001185036,0.0002030259,0.000202152,0.0002714495,0.0005132077,0.0002034631,0.000199966,0.0001795898,0.001597354],"category_scores_gemma":[0.001979884,0.0001342654,0.0003586987,0.0001979506,0.000183464,0.0001519597,0.0005360068,0.0004902013,0.00008762708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003152694,"about_ca_system_score_gemma":0.001406773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001131328,"about_ca_topic_score_gemma":0.002595929,"domain_scores_codex":[0.9995219,0.0003248584,0.00002349387,0.00001707145,0.00003899592,0.00007381518],"domain_scores_gemma":[0.9992942,0.0002412025,0.0001520384,0.00001860393,0.0000353867,0.0002586497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0138012,0.1048421,0.1470457,0.00323267,0.0002096935,0.000587796,0.01385404,0.001250227,0.01041575,0.0006431121,0.003146203,0.7009714],"study_design_scores_gemma":[0.02834758,0.2463161,0.6639864,0.001770503,0.0007143742,0.001014798,0.02158067,0.01009175,0.008160752,0.001612805,0.01625879,0.0001454342],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968658,0.0001937954,0.0005927662,0.0003058285,0.000029906,0.001203707,0.00002304471,0.000009466578,0.0007756622],"genre_scores_gemma":[0.9935948,0.0003181432,0.00352441,0.0001557415,0.00002867286,0.002093374,0.00003220141,9.0747e-7,0.0002517838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001597354,"threshold_uncertainty_score":0.00626713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1135646041083705,"score_gpt":0.3958094178620539,"score_spread":0.2822448137536834,"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."}}