{"id":"W2560230079","doi":"10.1177/1715163516680226","title":"Locking it down","year":2016,"lang":"en","type":"article","venue":"Canadian Pharmacists Journal / Revue des Pharmaciens du Canada","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Waterloo","funders":"","keywords":"Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.006401825,0.001224158,0.0008186895,0.002289374,0.009280403,0.009962774,0.002482447,0.003152759,0.1609776],"category_scores_gemma":[0.03435128,0.0004996279,0.001198452,0.002409684,0.006531587,0.007552078,0.007240416,0.004374463,0.06594245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01057461,"about_ca_system_score_gemma":0.02849622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2070402,"about_ca_topic_score_gemma":0.1901317,"domain_scores_codex":[0.9886811,0.001677288,0.0004810578,0.001345954,0.005126925,0.00268762],"domain_scores_gemma":[0.9769673,0.002869695,0.001396642,0.003431411,0.01216152,0.003173415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002361162,0.00007989707,0.005746046,0.0005878708,0.00003526137,0.0009365626,0.01173892,0.0001191019,0.001433066,0.04134847,0.6498165,0.2879222],"study_design_scores_gemma":[0.00001051018,0.00003501851,0.002093386,0.0004705914,0.00002262224,0.0003733997,0.00583601,0.00008709198,0.0004500616,0.003287633,0.9872882,0.00004542684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01677693,0.004840889,0.01598854,0.05194464,0.0109707,0.0008143701,0.002087345,0.003400078,0.8931765],"genre_scores_gemma":[0.2048299,0.006295399,0.01398064,0.04644739,0.001899831,0.000659303,0.00232409,0.002822604,0.7207407],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2070402,"threshold_uncertainty_score":0.5385237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07575748036205643,"score_gpt":0.3941150637448618,"score_spread":0.3183575833828054,"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."}}