{"id":"W4387125745","doi":"10.1101/2023.09.27.23296238","title":"Smartphone Apps for Cannabis Cessation: Quality Assessment and Content Analysis","year":2023,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Public Health Ontario; University of Toronto; Humber Polytechnic; Centre for Addiction and Mental Health","funders":"","keywords":"Cannabis; App store; Quality (philosophy); Psychological intervention; Medicine; Computer science; Psychiatry; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09179907,0.001090305,0.004213841,0.03232573,0.001470211,0.003272475,0.001755339,0.0008759107,0.002489096],"category_scores_gemma":[0.2662325,0.0009848366,0.00864031,0.02338364,0.001431263,0.003162007,0.005422778,0.001227153,0.0004178964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005260438,"about_ca_system_score_gemma":0.01482805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006192814,"about_ca_topic_score_gemma":0.01135093,"domain_scores_codex":[0.9121322,0.02919609,0.03391824,0.002423489,0.02119475,0.001135172],"domain_scores_gemma":[0.6904098,0.1944084,0.04960016,0.006785188,0.05744204,0.001354316],"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":[0.001550392,0.0004500109,0.120238,0.3463138,0.007857771,0.0004232001,0.01901872,0.0007182843,0.00094269,0.001363997,0.01118453,0.4899386],"study_design_scores_gemma":[0.001944475,0.002897765,0.450168,0.4098829,0.03354757,0.001362528,0.01513928,0.005111177,0.002484757,0.003244821,0.07354665,0.0006700928],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4596315,0.2717448,0.03007259,0.009206981,0.0008165912,0.1525694,0.05956719,0.0009479337,0.01544304],"genre_scores_gemma":[0.6487834,0.1003626,0.09492615,0.001683634,0.0003399167,0.1368136,0.01552723,0.0002445458,0.001318786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09179907,"threshold_uncertainty_score":0.4854857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3507968471982403,"score_gpt":0.5353289612030929,"score_spread":0.1845321140048526,"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."}}