{"id":"W4390428145","doi":"10.22533/at.ed.216412402014","title":"ALTERNATIVE AGRICULTURAL INSURANCE MODEL FOR CANOLA PRODUCERS (Brassica napus) OF LOW INCOME","year":2023,"lang":"en","type":"article","venue":"Scientific Journal of Applied Social and Clinical Science","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Canola; Brassica; Agriculture; Business; Crop insurance; Agricultural economics; Agricultural science; Agronomy; Economics; Environmental science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006510451,0.0006371927,0.0004811684,0.0004627815,0.0003802255,0.001181312,0.001367365,0.001144557,0.005711689],"category_scores_gemma":[0.001314174,0.0002629802,0.0007915224,0.00028748,0.0004452543,0.0007659661,0.000905802,0.001094723,0.0003371768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001145066,"about_ca_system_score_gemma":0.0012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01615342,"about_ca_topic_score_gemma":0.01067348,"domain_scores_codex":[0.9996957,0.00008736696,0.000009350209,0.00006929088,0.00005272921,0.00008577294],"domain_scores_gemma":[0.9995685,0.000203896,0.00008592888,0.00001373003,0.00007687769,0.00005112189],"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":[0.0001198802,0.0001112152,0.00437063,0.00005868721,0.0000515689,0.0004011411,0.000132739,0.9536166,0.001470839,0.02965057,0.001038356,0.008977706],"study_design_scores_gemma":[0.000009073206,0.00003186209,0.0006003003,0.000004684288,0.00001244739,0.00002737633,0.00004008581,0.9951451,0.00007426769,0.003549426,0.0005002409,0.000005162564],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5283095,0.0009475426,0.4255696,0.002498398,0.0001614944,0.0001797889,0.00124451,0.0003880279,0.04070114],"genre_scores_gemma":[0.976679,0.0002094303,0.007972826,0.00006119674,0.0000339289,0.0000886345,0.0002489401,0.0000227812,0.01468332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01615342,"threshold_uncertainty_score":0.0321188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0523368767592995,"score_gpt":0.3180759330227181,"score_spread":0.2657390562634186,"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."}}