{"id":"W2979182473","doi":"10.1017/age.2019.15","title":"A Risk Management Tool or an Investment Strategy? Understanding the Unstable Farm Insurance Demand via a Gain-Loss Framework","year":2019,"lang":"en","type":"article","venue":"Agricultural and Resource Economics Review","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Subsidy; Risk management; Revenue; Business; Demand management; Revenue management; Volatility (finance); Payment; Public economics; Economics; Investment (military); Government (linguistics); Actuarial science; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004933361,0.0003742211,0.0004723569,0.000008812121,0.000693571,0.0002384288,0.0005127357,0.0001470675,0.0001820457],"category_scores_gemma":[0.00002312895,0.00008886074,0.0001640311,0.0003825378,0.0001310188,0.0002666855,0.0001946758,0.0003556813,0.00007444436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001048209,"about_ca_system_score_gemma":0.000006730629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001064928,"about_ca_topic_score_gemma":0.0002883602,"domain_scores_codex":[0.9979774,0.0002138544,0.0004945779,0.000637356,0.0001824974,0.0004942694],"domain_scores_gemma":[0.9989532,0.0003152486,0.0003333303,0.0001679766,0.00003861014,0.0001916466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004904797,0.0008268465,0.08290605,0.003351585,0.001007537,0.00006884769,0.002013183,0.007439416,0.002877313,0.109405,0.007090072,0.7825237],"study_design_scores_gemma":[0.0007377471,0.001354987,0.7372055,0.004821494,0.0003936377,0.000517719,0.01430322,0.000461585,0.00009471497,0.01200413,0.2258739,0.002231338],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9730108,0.02099824,0.00001578306,0.001395723,0.0001071861,0.001432331,0.00003800126,0.00006035431,0.002941536],"genre_scores_gemma":[0.8300611,0.1653463,0.0001238168,0.00210689,0.000196448,0.00006940891,0.00005591529,0.000002615575,0.002037464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7802923,"threshold_uncertainty_score":0.5334458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02143337777666717,"score_gpt":0.2196050214542568,"score_spread":0.1981716436775896,"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."}}