{"id":"W3026974517","doi":"10.1093/schbul/sbaa030.412","title":"M100. LOOSELEAF: DEVELOPING A MOBILE-BASED APPLICATION TO MONITOR DAILY CANNABIS USAGE IN YOUTH AT CLINICAL HIGH-RISK OF PSYCHOSIS: APP DEVELOPMENT AND USABILITY TESTING","year":2020,"lang":"en","type":"article","venue":"Schizophrenia Bulletin","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hotchkiss Brain Institute; University of Calgary","funders":"","keywords":"Focus group; Cannabis; Usability; Psychology; Test (biology); Thematic analysis; Effects of cannabis; Mobile apps; Focus (optics); Computer science; Applied psychology; Medicine; Psychiatry; World Wide Web; Human–computer interaction; Qualitative research","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":[0.003414495,0.0008884015,0.0004542618,0.0006214861,0.000435912,0.0008222226,0.0009548873,0.0009182894,0.007140746],"category_scores_gemma":[0.008218756,0.000358012,0.0007179453,0.0002394365,0.0004132702,0.001263133,0.001800915,0.0005346928,0.001757773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002399814,"about_ca_system_score_gemma":0.000590391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006612842,"about_ca_topic_score_gemma":0.001456067,"domain_scores_codex":[0.9988694,0.0005622131,0.0001006525,0.0001612706,0.0002030672,0.0001034853],"domain_scores_gemma":[0.9961171,0.00288936,0.0001505178,0.0002010803,0.0004024527,0.000239431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003898567,0.002482709,0.03098879,0.006548355,0.0001954949,0.003643197,0.02471714,0.001487131,0.08139116,0.001344092,0.04187489,0.8014285],"study_design_scores_gemma":[0.003902905,0.04776705,0.2569375,0.006806978,0.00173086,0.01906862,0.02535962,0.04699279,0.1263562,0.006655033,0.457256,0.001166519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8229759,0.001718465,0.1224014,0.002024134,0.000360732,0.01285186,0.002989696,0.01770084,0.01697693],"genre_scores_gemma":[0.5938125,0.001209932,0.3727287,0.001480812,0.000083552,0.01172147,0.00189778,0.001015884,0.01604943],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.007140746,"threshold_uncertainty_score":0.02388823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04486229807164772,"score_gpt":0.3428004803560855,"score_spread":0.2979381822844377,"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."}}