{"id":"W2944724458","doi":"10.15353/cjo.80.239","title":"Artificial Intelligence in Health Care","year":2018,"lang":"en","type":"article","venue":"Canadian journal of optometry/CJO. Canadian journal of optometry","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Health care; Computer science; Psychology; Nursing; Artificial intelligence; Medicine; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.009417352,0.000917476,0.001079972,0.002034107,0.001753367,0.008226899,0.001833471,0.006985434,0.01724046],"category_scores_gemma":[0.01671239,0.0003101252,0.0004894732,0.002390038,0.0129691,0.005965599,0.00388508,0.006652875,0.003513832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005600797,"about_ca_system_score_gemma":0.007927408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004271277,"about_ca_topic_score_gemma":0.002341366,"domain_scores_codex":[0.9918732,0.004298012,0.0003852945,0.0008670684,0.002121233,0.0004550735],"domain_scores_gemma":[0.990159,0.00651709,0.0005164825,0.0007939205,0.001156861,0.0008566328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002444612,0.00004626119,0.0007178733,0.0005580125,0.00004041705,0.0001525097,0.0006958275,0.00118286,0.00009151125,0.8246558,0.08653396,0.08530049],"study_design_scores_gemma":[0.00002295808,0.00003843051,0.000528438,0.001189596,0.00001283856,0.0001727292,0.0005176134,0.0006653051,0.00006182388,0.6626148,0.3341543,0.00002106471],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002097128,0.1836091,0.0283688,0.4199156,0.008745603,0.0002146153,0.0003533328,0.0002316276,0.3564642],"genre_scores_gemma":[0.3686251,0.3356362,0.05058604,0.1238629,0.02606503,0.001270454,0.0009350766,0.0002468968,0.09277231],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01724046,"threshold_uncertainty_score":0.05767512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08824023709367262,"score_gpt":0.4523135563052779,"score_spread":0.3640733192116052,"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."}}