{"id":"W7084068064","doi":"10.64628/aam.3htsjpjhf","title":"Faster, more accurate diagnoses: Healthcare applications of AI research","year":2019,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Health care; Key (lock); Context (archaeology); MEDLINE","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00403065,0.001464644,0.001413728,0.005735302,0.0006344845,0.005265953,0.0017428,0.00330861,0.01273742],"category_scores_gemma":[0.02711606,0.0005963763,0.0009252072,0.002582504,0.001098897,0.00402171,0.001157032,0.003240866,0.004346553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066555,"about_ca_system_score_gemma":0.001260938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003658697,"about_ca_topic_score_gemma":0.00398106,"domain_scores_codex":[0.9970446,0.001417733,0.0001911256,0.000541624,0.0006917436,0.0001131844],"domain_scores_gemma":[0.9699986,0.02171474,0.001584808,0.002164785,0.003618824,0.0009181273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007209806,0.0006708119,0.03170411,0.00108662,0.0004380364,0.0005288994,0.0003801379,0.007966897,0.01190256,0.01639102,0.04546192,0.882748],"study_design_scores_gemma":[0.0005325431,0.001568568,0.05164165,0.001473273,0.000922216,0.005728322,0.002003211,0.3912241,0.02479404,0.4101902,0.1094891,0.0004327473],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.1192138,0.1367446,0.5142978,0.1386919,0.006184239,0.0006327614,0.004195554,0.008426076,0.07161327],"genre_scores_gemma":[0.5831092,0.03027235,0.359538,0.009601822,0.005595453,0.0001788991,0.001937973,0.0005910703,0.009175295],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01273742,"threshold_uncertainty_score":0.04261094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05932060962262061,"score_gpt":0.3894161648832976,"score_spread":0.330095555260677,"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."}}