{"id":"W2737104851","doi":"10.18174/390180","title":"Evaluatie Regeling brede weersverzekering","year":2016,"lang":"nl","type":"report","venue":"","topic":"Environmental Conservation and Management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Subsidy; Government (linguistics); Position (finance); Extreme weather; Business; Compensation (psychology); Agriculture; Crop insurance; Finance; Natural resource economics; Economics; Climate change; Geography; Market economy","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":[0.01940542,0.0007426019,0.000767398,0.00153338,0.0007875079,0.006012945,0.0008642531,0.001133891,0.02361279],"category_scores_gemma":[0.03150684,0.0003703379,0.0008987628,0.002149882,0.0009318104,0.004047503,0.001619183,0.001249555,0.003964218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003297742,"about_ca_system_score_gemma":0.003809784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01161937,"about_ca_topic_score_gemma":0.02673978,"domain_scores_codex":[0.9843681,0.007272416,0.0007022858,0.001486253,0.005514021,0.0006569601],"domain_scores_gemma":[0.9770815,0.01348755,0.001566531,0.001688004,0.00557051,0.0006058901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004050776,0.003198579,0.03292464,0.004202988,0.001064423,0.0001544481,0.007289216,0.03569916,0.009036895,0.02816918,0.04188152,0.8323282],"study_design_scores_gemma":[0.001064575,0.007350455,0.1782943,0.00596733,0.002667217,0.0002490044,0.01828703,0.06395061,0.05903756,0.06339206,0.5993252,0.0004146317],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.675229,0.01333672,0.0853069,0.002780134,0.0006774428,0.003191539,0.01528466,0.001329713,0.2028641],"genre_scores_gemma":[0.8414477,0.004801747,0.07312563,0.0005201586,0.00008175695,0.00165134,0.01055105,0.0007103618,0.06711031],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02361279,"threshold_uncertainty_score":0.1026269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05227108058900396,"score_gpt":0.2817106557603033,"score_spread":0.2294395751712993,"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."}}