{"id":"W2889927276","doi":"","title":"Health Canada - Medical Device/Software Regulations and Licensing","year":2011,"lang":"en","type":"article","venue":"CMBES Proceedings","topic":"Biomedical Ethics and Regulation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Software; Business; Computer science; Computer security; Internet privacy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002942407,0.0000996817,0.0002084429,0.00005662176,0.0001837013,0.00001193209,0.00004836993,0.0001691695,0.0001151455],"category_scores_gemma":[0.00031585,0.00007869667,0.00002181781,0.0001918657,0.0003271185,0.00006889432,0.00004602083,0.0002666586,0.000002007557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009451413,"about_ca_system_score_gemma":0.001061698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06676337,"about_ca_topic_score_gemma":0.0628079,"domain_scores_codex":[0.9988054,0.00000469993,0.0002432757,0.0002112882,0.0005121058,0.0002232062],"domain_scores_gemma":[0.9990402,0.0000252823,0.00008223723,0.000062451,0.00026989,0.0005199538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002360661,0.000388498,0.1932905,0.003491745,0.00025244,0.00009344811,0.0159596,1.305526e-7,0.000826903,0.05397173,0.1280861,0.6034029],"study_design_scores_gemma":[0.001292006,0.0003057139,0.9031852,0.001330979,0.00007616951,0.0006697277,0.001367249,0.0015106,0.0004706473,0.00263794,0.08683939,0.0003143016],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8416538,0.002293105,0.0006607525,0.14596,0.0004431625,0.0005848067,0.00000686703,0.0002497612,0.008147759],"genre_scores_gemma":[0.9876768,0.000110517,0.004873132,0.006874984,0.0001737014,0.000003832563,0.00001291507,0.00001667577,0.0002574354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7098948,"threshold_uncertainty_score":0.9542934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03792912440040543,"score_gpt":0.2835339893106114,"score_spread":0.245604864910206,"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."}}