{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008806037,0.0001087945,0.0001714406,0.0005967282,0.001093926,0.002527766,0.0003633219,0.001112536,0.01467809],"category_scores_gemma":[0.008283725,0.00007769657,0.0002273735,0.0008926862,0.0009888927,0.0008645403,0.001641026,0.0009017788,0.0009348454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002729957,"about_ca_system_score_gemma":0.003263983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03478341,"about_ca_topic_score_gemma":0.03509033,"domain_scores_codex":[0.9988882,0.000460676,0.00007603691,0.00009334273,0.0002945211,0.0001872522],"domain_scores_gemma":[0.9959907,0.001328094,0.001002198,0.00008871085,0.0005189801,0.001071388],"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":[0.0002242127,0.0003562963,0.2690232,0.00140899,0.0001197944,0.001008979,0.01297977,0.0002372754,0.0005074751,0.01542981,0.1237601,0.574944],"study_design_scores_gemma":[0.00008927148,0.0006600216,0.538496,0.003939758,0.0001581507,0.00341389,0.02548764,0.0005616931,0.0003461471,0.01423994,0.4125023,0.000105211],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.3934495,0.1130289,0.001042736,0.22805,0.001422838,0.0001212362,0.002131441,0.000160802,0.2605925],"genre_scores_gemma":[0.9545393,0.02698768,0.0008362469,0.009995741,0.0005088669,0.00003932475,0.0002821129,0.0000134283,0.006797333],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.03478341,"threshold_uncertainty_score":0.06916195,"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."}}