{"id":"W7070470516","doi":"","title":"Osgoode PhD candidate teams up with Sick Kids to explore AI in health outcomes","year":2018,"lang":"en","type":"article","venue":"","topic":"Cultural Insights and Digital Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Corporate governance; Work (physics); Medical ethics; Relation (database); Order (exchange); Medical diagnosis; Sick child; Bioethics; Ethics committee","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":[0.007693481,0.0004418176,0.0006410668,0.001594958,0.004025673,0.005029263,0.001072979,0.003645698,0.05065852],"category_scores_gemma":[0.02411222,0.0003316452,0.0005986386,0.0006107399,0.003696832,0.003244975,0.005210638,0.01069959,0.009420231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004517163,"about_ca_system_score_gemma":0.01293455,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008325811,"about_ca_topic_score_gemma":0.02429099,"domain_scores_codex":[0.9966249,0.001257761,0.0001181723,0.0004614644,0.0008423112,0.0006952491],"domain_scores_gemma":[0.9682602,0.006013078,0.0007889142,0.0005952675,0.004834841,0.01950773],"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":[0.0000275158,0.00009282677,0.003110016,0.00006039967,0.00001014274,0.0002161826,0.001409204,0.00004535195,0.00006886199,0.007492378,0.9224303,0.06503674],"study_design_scores_gemma":[0.00004721992,0.000134666,0.005809953,0.001007117,0.00001817548,0.0005589034,0.006973113,0.0002092872,0.0001807597,0.02542988,0.9595804,0.00005043408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.003106641,0.007086784,0.001215249,0.9233953,0.01175707,0.00004916782,0.0002050902,0.000150436,0.05303418],"genre_scores_gemma":[0.1094867,0.04374665,0.007945414,0.4933799,0.02527146,0.0006533909,0.0007092518,0.0006255229,0.3181818],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9916742,"threshold_uncertainty_score":0.1694697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.184451494312403,"score_gpt":0.3514172341825842,"score_spread":0.1669657398701812,"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."}}