{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003958661,0.00004905886,0.0000808301,0.0001325291,0.00007641593,0.00007369641,0.0005997979,0.00004635579,0.00005231382],"category_scores_gemma":[0.00002225477,0.00004218849,0.00002736955,0.0007036983,0.00002849905,0.0003282564,0.0001747545,0.0001908174,0.0002900966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002456616,"about_ca_system_score_gemma":0.00007702599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006196356,"about_ca_topic_score_gemma":0.00005530096,"domain_scores_codex":[0.9990765,0.00007240084,0.0001366485,0.0002410999,0.0002971828,0.0001761793],"domain_scores_gemma":[0.9988433,0.0001834023,0.00003500247,0.000627569,0.0002517722,0.00005891587],"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":[0.00001967669,0.0002830292,0.04083036,0.0003740671,0.00002919537,0.000003636263,0.004788937,0.0002471671,0.004578949,0.6249859,0.01879182,0.3050673],"study_design_scores_gemma":[0.002854075,0.002632043,0.1319745,0.000422437,0.00001393666,0.00007309604,0.003974314,0.1581217,0.1374519,0.1513543,0.4095919,0.001535824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1522374,0.0004008401,0.8039759,0.0257283,0.000677115,0.001598331,0.000008410108,0.000357818,0.01501584],"genre_scores_gemma":[0.995835,0.00002033554,0.002318767,0.0004299436,0.00004499112,0.00006933131,0.000001689607,0.000004304748,0.001275627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8435977,"threshold_uncertainty_score":0.3728701,"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."}}