{"id":"W2755756708","doi":"10.1109/ichi.2017.96","title":"Computable Adherence","year":2017,"lang":"en","type":"article","venue":"","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Victoria","funders":"","keywords":"Soundness; Confusion; Formalism (music); Computer science; Informatics; Medication adherence; Health informatics; Medicine; Psychology; Nursing; Engineering; Programming language","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":[0.001889772,0.0007788415,0.001033447,0.001650006,0.001032553,0.003823221,0.001350305,0.001421672,0.01771743],"category_scores_gemma":[0.01738507,0.000433447,0.001643342,0.0015701,0.002711869,0.005360778,0.003016059,0.00209109,0.001976964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002173119,"about_ca_system_score_gemma":0.001786097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004119523,"about_ca_topic_score_gemma":0.002633375,"domain_scores_codex":[0.9973583,0.000725037,0.0002489445,0.0007421497,0.0006373313,0.0002882793],"domain_scores_gemma":[0.9935601,0.003594365,0.0006251474,0.001289688,0.0007241805,0.0002065687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003082369,0.00002859512,0.001044994,0.0001389869,0.00002718063,0.0001005673,0.0001671675,0.02038451,0.0002452823,0.9485453,0.002589521,0.02669711],"study_design_scores_gemma":[0.00001852984,0.00002146524,0.0003992836,0.0000431718,0.00001466287,0.0001048679,0.00007072376,0.04677452,0.0002503423,0.9429473,0.009342074,0.00001308145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0355571,0.001100341,0.8642868,0.004261296,0.0003175934,0.0001483369,0.001525812,0.001050915,0.09175175],"genre_scores_gemma":[0.7230095,0.001352841,0.2342765,0.0009675474,0.0003667737,0.0004727152,0.002561073,0.0002608806,0.03673228],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01771743,"threshold_uncertainty_score":0.05927068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1130635679406081,"score_gpt":0.3934294013270221,"score_spread":0.280365833386414,"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."}}