{"id":"W3096227196","doi":"10.36834/cmej.70650","title":"A smartphone app for intensive care unit rotation orientation","year":2020,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"Family and Patient Care in Intensive Care Units","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Orientation (vector space); Smartphone app; Intensive care unit; Unit (ring theory); Rotation (mathematics); Resource (disambiguation); Quality (philosophy); Computer science; Psychology; Human–computer interaction; Artificial intelligence; Mathematics; Computer network; Mathematics education","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":[0.0004704527,0.0006604837,0.0002236845,0.0004583839,0.0005621666,0.0005746512,0.0005531375,0.001399113,0.06627507],"category_scores_gemma":[0.002258504,0.0001315481,0.0004774222,0.0002478044,0.0001556267,0.0009687652,0.000670749,0.0007346806,0.01688124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001846551,"about_ca_system_score_gemma":0.0006598388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001180527,"about_ca_topic_score_gemma":0.005100818,"domain_scores_codex":[0.9997078,0.00006268373,0.00002473895,0.00002350738,0.0001345514,0.00004665336],"domain_scores_gemma":[0.9989213,0.0004204825,0.00009934726,0.00003854648,0.0002974476,0.000222972],"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":[0.0005267912,0.0006358195,0.003242008,0.0009264742,0.00002254171,0.001089585,0.0003940988,0.00005596863,0.004329563,0.0001942766,0.4728929,0.5156899],"study_design_scores_gemma":[0.00100468,0.003624667,0.07626051,0.002693503,0.0002413613,0.01030226,0.002447987,0.002324251,0.01045,0.0009485109,0.8893704,0.0003317955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.302835,0.03280831,0.04334761,0.1130919,0.02991978,0.006745484,0.01419622,0.04019919,0.4168566],"genre_scores_gemma":[0.457165,0.02040663,0.09089593,0.06796906,0.007962908,0.003689702,0.005342941,0.001020774,0.3455471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06627507,"threshold_uncertainty_score":0.2217122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08414380341245542,"score_gpt":0.4097635205487628,"score_spread":0.3256197171363074,"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."}}