{"id":"W4250250380","doi":"10.1111/ceo.13625","title":"Scientific Program","year":2019,"lang":"en","type":"article","venue":"Clinical and Experimental Ophthalmology","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Medicine; Ophthalmology; Medical physics; Family medicine; Optometry","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002925747,0.0008166704,0.0006906777,0.003290833,0.001639211,0.00337724,0.001912568,0.002391348,0.6249686],"category_scores_gemma":[0.006913565,0.0002793361,0.0007224125,0.001593317,0.0006507121,0.001322043,0.003072364,0.001915453,0.4581195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002244416,"about_ca_system_score_gemma":0.006085321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000869008,"about_ca_topic_score_gemma":0.002146353,"domain_scores_codex":[0.9983239,0.0001739035,0.00005179531,0.0002695135,0.0009350863,0.0002459402],"domain_scores_gemma":[0.9927952,0.0003731276,0.0002194232,0.0007867658,0.00268688,0.003138535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001489619,0.0001354721,0.0004334749,0.0002093068,0.000008569238,0.00007478376,0.00003475583,0.00008475856,0.001325991,0.01861759,0.8390543,0.139872],"study_design_scores_gemma":[0.00001645682,0.00002843971,0.0004335407,0.00003683761,0.000002848307,0.00005696831,0.0000156478,0.00007293011,0.0003206998,0.002703015,0.9963102,0.000002437704],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001829132,0.003473373,0.004511718,0.02498213,0.01872446,0.00067004,0.006331653,0.001233204,0.9382442],"genre_scores_gemma":[0.004720841,0.001526114,0.001527734,0.003152173,0.004196251,0.0002799682,0.002979179,0.0002209347,0.9813968],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3750314,"threshold_uncertainty_score":0.5349367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1061280527491712,"score_gpt":0.3467288858730395,"score_spread":0.2406008331238683,"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."}}