{"id":"W4389613579","doi":"10.52843/cassyni.w9k23k","title":"Presentation of EAJ Issue 13/2 - December 11th","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Presentation (obstetrics); Computer science; Medicine; Radiology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"category_scores_codex":[0.00293403,0.001631874,0.00154097,0.001738534,0.001939644,0.006036906,0.001662006,0.003950066,0.5360017],"category_scores_gemma":[0.003859605,0.0003821593,0.001283194,0.0007936841,0.0005639725,0.002987875,0.003726661,0.004646363,0.3326609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574065,"about_ca_system_score_gemma":0.001525885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009172183,"about_ca_topic_score_gemma":0.002717694,"domain_scores_codex":[0.9987347,0.0001597955,0.0000578354,0.0003134536,0.0004245328,0.000309646],"domain_scores_gemma":[0.9980995,0.0002646435,0.00007335404,0.0001219267,0.000635793,0.000804684],"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":[0.00009798325,0.00005298695,0.00009437373,0.00007712468,0.000007115003,0.00006844576,0.00003240841,0.00005292872,0.0004103615,0.00164607,0.9816809,0.01577925],"study_design_scores_gemma":[0.00001721619,0.00003609629,0.000518652,0.0001091962,0.000004871578,0.00002960785,0.00007404338,0.0001773267,0.0001566524,0.001064317,0.9978045,0.000007614964],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003317734,0.00955023,0.005677775,0.0746723,0.4188381,0.0007085268,0.007325631,0.002499292,0.4774104],"genre_scores_gemma":[0.006662123,0.002040271,0.001173157,0.005199852,0.04115264,0.0001902378,0.002776045,0.0009982163,0.9398076],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5360017,"threshold_uncertainty_score":0.6618372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0560881498076119,"score_gpt":0.3751279017353334,"score_spread":0.3190397519277215,"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."}}