{"id":"W7033646116","doi":"","title":"Reforming Canada’s Disaster\\nAssistance Programs","year":2020,"lang":"en","type":"article","venue":"Project Muse (Johns Hopkins University)","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Incentive; Public policy; Subsidy; Flooding (psychology)","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":[0.002906521,0.0004656647,0.0002156385,0.001696769,0.004777067,0.003431213,0.001796867,0.00190728,0.01697897],"category_scores_gemma":[0.005665958,0.0002602502,0.0005185276,0.001187732,0.001678489,0.0008280831,0.002872708,0.00201816,0.0008138992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06800155,"about_ca_system_score_gemma":0.33705,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9711159,"about_ca_topic_score_gemma":0.9894928,"domain_scores_codex":[0.9964612,0.0003768208,0.00005028097,0.0001436019,0.001071324,0.001896763],"domain_scores_gemma":[0.9930623,0.0004526068,0.0002113816,0.0001627593,0.002656211,0.003454671],"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":[0.0003617236,0.0008690021,0.04553351,0.0009155482,0.0001560251,0.0008367906,0.004057594,0.01529449,0.003277923,0.1591587,0.4990501,0.2704887],"study_design_scores_gemma":[0.000287187,0.0003015132,0.07565103,0.0006298034,0.00007234026,0.0000839121,0.003073262,0.006026628,0.0008303488,0.006309038,0.906655,0.00007999201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2013727,0.006529331,0.01318559,0.2314688,0.003632633,0.002437502,0.005913944,0.001513597,0.5339458],"genre_scores_gemma":[0.7024783,0.00362385,0.01452836,0.03087744,0.0005617347,0.0005839886,0.002547415,0.000145057,0.2446539],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06800155,"threshold_uncertainty_score":0.4933881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0290649305744353,"score_gpt":0.1889044033471003,"score_spread":0.159839472772665,"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."}}