{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001681079,0.0007256191,0.0005809888,0.0001309769,0.0003888417,0.0001332345,0.0007382307,0.000376144,0.1876056],"category_scores_gemma":[0.0001315608,0.0005919765,0.0003436889,0.0002130523,0.000400203,0.000459791,0.001552308,0.0003711263,0.05051374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002672717,"about_ca_system_score_gemma":0.0001103185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001518883,"about_ca_topic_score_gemma":0.0003325166,"domain_scores_codex":[0.9940784,0.0001495457,0.001059274,0.001369133,0.002481593,0.0008620381],"domain_scores_gemma":[0.9977403,0.0001165096,0.0005938318,0.001167615,0.00002036008,0.000361355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006393679,0.0003928322,0.01586538,0.0004471721,0.0005379698,0.000170772,0.0002621645,0.001164916,0.01465971,0.0007973718,0.5839978,0.38164],"study_design_scores_gemma":[0.0006202798,0.00009893261,0.01943408,0.0004339778,0.0001964334,0.00002696515,0.0002447742,0.000849969,0.0009515109,0.000202161,0.9759691,0.0009718353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006031008,0.0004998946,0.004627715,0.004849727,0.002110097,0.001243248,0.00004111908,0.0001761753,0.980421],"genre_scores_gemma":[0.06276046,0.008451718,0.002751306,0.003900683,0.0004382544,0.0001158436,0.00007553226,0.0001446828,0.9213615],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3919713,"threshold_uncertainty_score":0.9996532,"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."}}