{"id":"W2313302433","doi":"10.1136/bmjinnov-2015-000087","title":"The alcohol tracker application: an initial evaluation of user preferences","year":2015,"lang":"en","type":"article","venue":"BMJ Innovations","topic":"Substance Abuse Treatment and Outcomes","field":"Medicine","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Alcohol; Computer science; Human–computer interaction; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005412141,0.0004758627,0.0006309021,0.001231053,0.0006258347,0.001052876,0.0003178574,0.0006197327,0.002854553],"category_scores_gemma":[0.01627704,0.0002057122,0.0007011637,0.0005038184,0.0003350715,0.0008665679,0.0009541056,0.0006147563,0.000983723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004875891,"about_ca_system_score_gemma":0.0004356611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002646765,"about_ca_topic_score_gemma":0.004032035,"domain_scores_codex":[0.9976625,0.001016042,0.0002908142,0.0002213964,0.0005735984,0.0002356521],"domain_scores_gemma":[0.9832054,0.009508061,0.0007761093,0.0005238588,0.004834632,0.001151879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005172288,0.00542899,0.7638605,0.001475591,0.0002581853,0.001360441,0.04071349,0.0006945512,0.01618188,0.0002210611,0.007359321,0.1572737],"study_design_scores_gemma":[0.0002165235,0.008877246,0.9414502,0.0002169491,0.0002462654,0.001229832,0.02394301,0.006325444,0.006812886,0.0001495692,0.01034294,0.0001891082],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968941,0.00005938318,0.0006171989,0.00006733958,0.00001255973,0.0004006907,0.0005064239,0.00007510954,0.00136717],"genre_scores_gemma":[0.9909462,0.0001494759,0.004283492,0.0001282844,0.00002001398,0.0006816712,0.0009741186,0.00005590207,0.002760889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005412141,"threshold_uncertainty_score":0.02862251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2837976001679381,"score_gpt":0.4672727939116126,"score_spread":0.1834751937436744,"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."}}