{"id":"W4403116494","doi":"10.57745/p0khag","title":"Insurance dataset","year":2024,"lang":"en","type":"other","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; Business","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.005623741,0.0003115168,0.0003912206,0.0004910994,0.0001640835,0.0008134002,0.00381255,0.0003884685,0.003088773],"category_scores_gemma":[0.003840939,0.0002603173,0.0001427477,0.001390025,0.0004289426,0.0001302494,0.00147704,0.0005060208,0.008803916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003639888,"about_ca_system_score_gemma":0.0001052982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009662035,"about_ca_topic_score_gemma":0.003454346,"domain_scores_codex":[0.9955803,0.001400988,0.0005898806,0.001196455,0.0009084268,0.0003240184],"domain_scores_gemma":[0.9920002,0.001318837,0.0005022719,0.005464758,0.0005770678,0.0001368416],"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":[6.934962e-7,0.00007552432,0.0000736359,0.00001788698,0.0000199859,0.000003172914,0.0001158488,1.620725e-7,0.00006062406,0.09056272,0.8413708,0.067699],"study_design_scores_gemma":[0.000108534,1.040494e-7,0.0001471986,0.0005030626,0.00001505856,0.000007262372,0.00006428418,0.0001860416,0.0008053489,0.01911033,0.9787855,0.0002672316],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007090924,0.00459494,0.03518266,0.02080876,0.0003002682,0.0003991018,0.01297381,0.0009499625,0.9247196],"genre_scores_gemma":[0.00619358,0.001162739,0.0232627,0.0002100131,0.00004774291,0.0000976809,0.003494167,0.0002601781,0.9652712],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1374148,"threshold_uncertainty_score":0.9999849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07562978095177517,"score_gpt":0.3188520873582011,"score_spread":0.2432223064064259,"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."}}