{"id":"W4211131357","doi":"10.12688/f1000research.11173.2","title":"Scaling-up primary health care-based prevention and management of alcohol use disorder at the municipal level in middle-income countries in Latin America: Background and pre-protocol for a three-country quasi-experimental study","year":2017,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mental Health Research Canada; University of Toronto","funders":"European Commission","keywords":"Medicine; Environmental health; Alcohol use disorder; Baseline (sea); Latin Americans; Operationalization; Psychological intervention; Family medicine; Gerontology; Nursing; Political science; Alcohol","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":[0.001133449,0.0003900291,0.0009064103,0.0003263309,0.0002813621,0.0001306061,0.0003250066,0.0001544641,0.00003356373],"category_scores_gemma":[0.00004807631,0.000284936,0.0001043609,0.0001589896,0.0005050351,0.0001393856,0.0008856558,0.0004508309,0.000001431203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000981202,"about_ca_system_score_gemma":0.0004387178,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005601561,"about_ca_topic_score_gemma":0.02767078,"domain_scores_codex":[0.9968631,0.0003035006,0.0007134096,0.0007187292,0.000861548,0.0005396601],"domain_scores_gemma":[0.9978777,0.000533368,0.0003537083,0.001008719,0.0001150929,0.0001114601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007782,0.002248492,0.9714212,0.005253987,0.0002935604,0.00003867694,0.01054891,0.00003954993,0.000004351925,0.00003465346,0.00005385875,0.002280688],"study_design_scores_gemma":[0.023258,0.002179042,0.9604735,0.003459129,0.00008740946,0.000001650418,0.00908096,0.0006864199,0.00005698588,0.00005043262,0.0004240375,0.0002424052],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.842619,0.001633993,0.00003510026,0.0003154482,0.00005043484,0.1552052,0.00008140505,0.00001888329,0.00004049335],"genre_scores_gemma":[0.8115993,0.000273079,0.00088002,0.00007716706,0.00003741027,0.1857301,0.000249029,0.0000713586,0.001082563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03101967,"threshold_uncertainty_score":0.9999603,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2173772050533503,"score_gpt":0.4665042166923125,"score_spread":0.2491270116389621,"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."}}