{"id":"W4393026788","doi":"10.13140/rg.2.2.28395.96806","title":"Measuring climate change from an actuarial perspective: a survey of insurance applications","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Ministerio de Ciencia e Innovación; Fundación Mapfre","keywords":"Perspective (graphical); Actuarial science; Climate change; Business; Economics; Environmental science; Computer science; Geology; Oceanography","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":[],"consensus_categories":[],"category_scores_codex":[0.01286892,0.0003318894,0.0003296772,0.00586975,0.0004128788,0.001854371,0.0007308585,0.0004767721,0.003033686],"category_scores_gemma":[0.06439548,0.0001703949,0.0004628265,0.009703889,0.0005528302,0.002493968,0.001086723,0.0008106441,0.0005989733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009038351,"about_ca_system_score_gemma":0.001025589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004842683,"about_ca_topic_score_gemma":0.002999769,"domain_scores_codex":[0.9918008,0.002725817,0.0009232999,0.0005571687,0.003668123,0.0003247526],"domain_scores_gemma":[0.9263135,0.04715279,0.0104651,0.003340272,0.01105572,0.001672618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00021441,0.0001773606,0.5916119,0.0004103851,0.0001876643,0.000114443,0.002568321,0.01042118,0.001375674,0.007859559,0.005234089,0.3798251],"study_design_scores_gemma":[0.000008030273,0.000342147,0.9180195,0.000470567,0.00007307838,0.0005453475,0.002555856,0.02082134,0.001467101,0.007762061,0.04787177,0.00006313896],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9346481,0.01203829,0.01383848,0.003503603,0.0001025561,0.00009585166,0.00321312,0.0001594539,0.03240053],"genre_scores_gemma":[0.9890007,0.00567799,0.00314958,0.0001510017,0.00006695952,0.00002770158,0.001077936,0.00002869235,0.0008195588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01286892,"threshold_uncertainty_score":0.06805819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03538929166754626,"score_gpt":0.2459531008409781,"score_spread":0.2105638091734318,"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."}}