{"id":"W3124519343","doi":"10.1108/afr-11-2012-0061?utm_campaign=repec&wt.mc_id=repec","title":"Optimal Reinsurance Analysis from a Crop Insurer's Perspective","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Rice Cultivation and Yield Improvement","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba; University of Waterloo","funders":"","keywords":"Reinsurance; Perspective (graphical); Crop insurance; Actuarial science; Economics; Business; Computer science; Geography; Artificial intelligence; Agriculture","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":[0.003615532,0.0006317848,0.001005976,0.0007730169,0.0006629475,0.001803597,0.001208736,0.00121003,0.005241029],"category_scores_gemma":[0.007620406,0.0005718744,0.000935639,0.0004064042,0.001042501,0.002073879,0.001181086,0.001584417,0.0002565628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003648363,"about_ca_system_score_gemma":0.00442502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01061877,"about_ca_topic_score_gemma":0.006778757,"domain_scores_codex":[0.9981319,0.0006103817,0.00007070756,0.0002824833,0.000429103,0.0004755403],"domain_scores_gemma":[0.9974614,0.001334533,0.0005318208,0.0001617228,0.0002787872,0.0002315286],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001855526,0.0002442937,0.007272222,0.0001049395,0.00006923939,0.000259406,0.0001732963,0.864337,0.004827953,0.1043022,0.001667041,0.016557],"study_design_scores_gemma":[0.00003943928,0.0002799961,0.004700812,0.00004366109,0.00006815432,0.0001356845,0.0003420956,0.972201,0.001912121,0.01837749,0.001863179,0.00003642372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7145137,0.001239917,0.2438201,0.00256617,0.00005710082,0.0003632666,0.0004169957,0.0001699908,0.03685293],"genre_scores_gemma":[0.983128,0.0002300265,0.01312988,0.00007851532,0.00001473624,0.0000425822,0.00008611593,0.00002614165,0.00326403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01061877,"threshold_uncertainty_score":0.02647078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01227689167295468,"score_gpt":0.2341851697485025,"score_spread":0.2219082780755478,"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."}}