{"id":"W2968723729","doi":"10.1145/3357514.3357515","title":"EuroGP 2019 panel discussion","year":2019,"lang":"en","type":"article","venue":"ACM SIGEVOlution","topic":"Artificial Intelligence in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"The Internet; World Wide Web; Computer science; Everyday life; Set (abstract data type); Synonym (taxonomy); Internet privacy; Political science","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006419127,0.0001677254,0.0002278325,0.000106907,0.0006286272,0.000007036098,0.0004225413,0.0003146763,0.002586672],"category_scores_gemma":[0.001012042,0.0001156511,0.00007452146,0.0002906812,0.00004696997,0.0002812819,0.0003101927,0.0007269295,0.03821626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003550444,"about_ca_system_score_gemma":0.0002522772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001642282,"about_ca_topic_score_gemma":0.0002543751,"domain_scores_codex":[0.9974114,0.0005428524,0.0006053891,0.0004093774,0.000342315,0.0006886664],"domain_scores_gemma":[0.9978455,0.0005326544,0.0002322571,0.001027727,0.0002316664,0.000130204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001394386,0.00007849646,0.9097948,0.0002636223,0.00001304498,0.000004052315,0.003994528,0.0001319985,0.01027404,0.009921959,0.04270143,0.02268256],"study_design_scores_gemma":[0.0006456571,0.0004557469,0.538248,0.0008855845,0.00003657306,0.000003706992,0.01149704,0.009302525,0.00118595,0.02530188,0.411624,0.0008133274],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9758725,0.0003742921,0.0004932648,0.008655163,0.00472392,0.001642224,0.00002550646,0.000355602,0.007857491],"genre_scores_gemma":[0.9758295,0.00007065029,0.0002971406,0.0009352652,0.0004228239,0.00006602611,0.00006075798,0.00003909924,0.02227867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3715468,"threshold_uncertainty_score":0.9983251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1594351015006916,"score_gpt":0.4536645117269162,"score_spread":0.2942294102262247,"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."}}