{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002793713,0.000415514,0.001179554,0.01051766,0.0005090729,0.0002313753,0.0008035872,0.0004025984,0.00164431],"category_scores_gemma":[0.001780155,0.0004084379,0.000427071,0.004885999,0.0007696988,0.0006093576,0.00001466846,0.001763217,0.0001179286],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004273187,"about_ca_system_score_gemma":0.03422297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02884448,"about_ca_topic_score_gemma":0.04660372,"domain_scores_codex":[0.9938059,0.0002601663,0.003265863,0.0003369158,0.0007918015,0.001539383],"domain_scores_gemma":[0.987399,0.0002423758,0.001607557,0.0004339005,0.00363143,0.00668574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001672788,0.00006088746,0.923002,0.0002408957,0.0001300181,0.00114268,0.009068738,0.0001115345,0.00006265543,0.00004321497,0.005254354,0.06071575],"study_design_scores_gemma":[0.0003777202,0.004927294,0.8985523,0.003899416,0.0001975006,0.008630558,0.04982245,0.0002163517,0.009499164,0.0001802697,0.02270575,0.0009912297],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713362,0.008087954,0.001523333,0.01292654,0.004778869,0.0003464295,0.00004896629,0.000006004657,0.0009456978],"genre_scores_gemma":[0.9904822,0.0002394116,0.003908581,0.001980084,0.003208723,0.000001988784,0.000009445712,0.00007158588,0.00009800118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05972452,"threshold_uncertainty_score":0.9998367,"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."}}