{"id":"W2346066078","doi":"10.1177/1553350615624788","title":"Smartphones and Patient Care","year":2016,"lang":"en","type":"article","venue":"Surgical Innovation","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Women's College Hospital; University of Toronto","funders":"","keywords":"Medicine; Patient care; Medical emergency; Nursing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002156996,0.00008003647,0.000124268,0.0001110528,0.0004646819,0.000002702877,0.00003865482,0.0001344593,0.000453309],"category_scores_gemma":[0.0001215189,0.00004990102,0.00001148476,0.000460154,0.00004742924,0.0000737064,0.00004269528,0.0001527703,0.000287231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009455844,"about_ca_system_score_gemma":0.0001724161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004419218,"about_ca_topic_score_gemma":0.00002190763,"domain_scores_codex":[0.9986976,0.0001169484,0.0005282466,0.0002087936,0.000127788,0.0003206216],"domain_scores_gemma":[0.9988081,0.000335511,0.0001649181,0.0001769852,0.0004009292,0.0001135393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005326138,0.0000174647,0.02851602,0.000133254,0.000002023592,0.000001496238,0.000464184,5.322118e-8,0.0003042894,0.2037738,0.006219205,0.760515],"study_design_scores_gemma":[0.0008342725,0.0000734815,0.02094489,0.00008614519,0.000002029579,0.000001800088,0.0005137527,0.000001938219,0.0000821795,0.002151329,0.9752353,0.00007286351],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681708,0.0004151855,0.0004517504,0.009047232,0.0005066307,0.001549764,0.00003661798,0.000142101,0.01967995],"genre_scores_gemma":[0.9946974,0.0002475918,0.0002281621,0.001736349,0.0001919616,0.002223929,0.00003183782,0.00001160676,0.0006311816],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9690161,"threshold_uncertainty_score":0.4963416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04206941752059531,"score_gpt":0.4113431615447246,"score_spread":0.3692737440241293,"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."}}