{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001514208,0.0003847799,0.0004535443,0.0004336462,0.004325919,0.00004312293,0.0007725719,0.0001547597,0.008918184],"category_scores_gemma":[0.0005102162,0.0003121186,0.0001269183,0.0006558571,0.0001814462,0.0003588839,0.00006328282,0.001254952,0.0004650012],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.006798081,"about_ca_system_score_gemma":0.02210661,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05061774,"about_ca_topic_score_gemma":0.4112665,"domain_scores_codex":[0.9945981,0.000512274,0.001316007,0.0005165392,0.0004843737,0.002572692],"domain_scores_gemma":[0.9907814,0.0006138489,0.0005724358,0.0004472795,0.0009169267,0.006668111],"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":[0.0000944019,0.00002814713,0.01009656,0.0003920839,0.0000677228,0.008100239,0.001011083,0.00002982941,0.001381694,0.0008770082,0.6210714,0.3568498],"study_design_scores_gemma":[0.002315574,0.00002291822,0.00008200935,0.0001069262,0.00004764136,0.0453472,0.00003032866,0.0001324958,0.0001465189,0.0002246617,0.9511454,0.0003983298],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.811059,0.004940788,0.005394554,0.03510391,0.03427999,0.01081964,0.003816331,0.0004925176,0.09409324],"genre_scores_gemma":[0.9503251,0.01095357,0.0001976613,0.02772017,0.002977066,0.0007289073,0.00001972422,0.00008184366,0.006995979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3606488,"threshold_uncertainty_score":0.9999331,"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."}}