{"id":"W4392577525","doi":"","title":"The definition of a French actuarial climate index; one more step towards a European index","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Index (typography); Actuarial science; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003476233,0.0008801294,0.0004582421,0.00385885,0.0008057542,0.003938571,0.0006605403,0.0009811191,0.004870266],"category_scores_gemma":[0.007528516,0.0001421658,0.0008497933,0.003295942,0.0007565125,0.001699195,0.001099911,0.001500798,0.001699825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002993358,"about_ca_system_score_gemma":0.001869581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02629813,"about_ca_topic_score_gemma":0.01072612,"domain_scores_codex":[0.9967899,0.0009963083,0.0002584149,0.0003520765,0.001366264,0.0002370187],"domain_scores_gemma":[0.9967393,0.0007036105,0.0006515691,0.000359633,0.001289547,0.0002562069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001293129,0.0001027957,0.04557103,0.0002820245,0.0002751042,0.0003646516,0.0007514477,0.02987932,0.002670642,0.4363377,0.09081037,0.3928256],"study_design_scores_gemma":[0.00002269986,0.0002971739,0.09593417,0.000367058,0.00008994903,0.001019625,0.0004339738,0.04378019,0.003288027,0.05409235,0.8003874,0.0002874161],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1011767,0.01823896,0.5014855,0.01650298,0.006442502,0.0005091962,0.01237892,0.001911483,0.3413538],"genre_scores_gemma":[0.7343782,0.008430886,0.1978702,0.002710056,0.00349475,0.0005543521,0.008752883,0.0006051557,0.04320347],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02629813,"threshold_uncertainty_score":0.05229014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03647479138233724,"score_gpt":0.2747958261549159,"score_spread":0.2383210347725786,"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."}}