{"id":"W7019709122","doi":"","title":"Introduction to health informatics: a Canadian perspective","year":2018,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Public health; Government (linguistics); Work (physics); MEDLINE; Key (lock)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01032839,0.001522548,0.0009357607,0.01282758,0.008572572,0.01973243,0.004089786,0.008813579,0.0576696],"category_scores_gemma":[0.01565241,0.0008463395,0.001074689,0.01713435,0.01654757,0.009037379,0.004988978,0.008898532,0.01089233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1357255,"about_ca_system_score_gemma":0.1918052,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9619098,"about_ca_topic_score_gemma":0.9568534,"domain_scores_codex":[0.9900918,0.001551356,0.0004961728,0.0008729956,0.005074163,0.001913514],"domain_scores_gemma":[0.9810376,0.003344069,0.0003994344,0.000700977,0.0100594,0.004458629],"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":[0.00002055312,0.00004229092,0.0002652245,0.0003124316,0.000007838149,0.000124757,0.001067258,0.0004857256,0.0001239651,0.3684776,0.5697448,0.05932756],"study_design_scores_gemma":[0.000004569471,0.000004230167,0.0004100914,0.0004012632,0.000003854447,0.00005630366,0.0005182682,0.0001327618,0.00004535743,0.009355253,0.9890503,0.00001776875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001059966,0.06318377,0.007852742,0.2787188,0.008321625,0.0001197896,0.001688376,0.0005072933,0.6385477],"genre_scores_gemma":[0.0543555,0.2038235,0.0169805,0.08234627,0.007605187,0.0001391545,0.002127995,0.001092149,0.6315297],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1357255,"threshold_uncertainty_score":0.984762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01895316033339144,"score_gpt":0.2843139455897293,"score_spread":0.2653607852563378,"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."}}