{"id":"W3123327980","doi":"10.22004/ag.econ.205702","title":"The economic impact of climate change on cash crop farms in Quebec and Ontario","year":2014,"lang":"en","type":"article","venue":"AgEcon Search (University of Minnesota, USA)","topic":"Agricultural Economics and Policy","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"DSSAT; Cropping; Climate change; Cash crop; Vulnerability (computing); Cash; Economic impact analysis; Crop rotation; Crop simulation model; Economic model; Environmental science; Simulation modeling; Natural resource economics; Economics; Agricultural engineering; Production (economics); Agriculture; Geography; Computer science; Engineering; Finance","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":[0.0002823661,0.0002043268,0.0001606068,0.0003899299,0.001255834,0.001016012,0.0005200627,0.0003761628,0.002328065],"category_scores_gemma":[0.0009743891,0.0001129293,0.0003115429,0.0009904272,0.0004918636,0.0003449972,0.0002899562,0.0001960992,0.0000839203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04489017,"about_ca_system_score_gemma":0.01160136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994206,"about_ca_topic_score_gemma":0.9969529,"domain_scores_codex":[0.999713,0.00006085375,0.000006079148,0.00002641397,0.00006277749,0.0001307788],"domain_scores_gemma":[0.9994606,0.0001417344,0.00007635168,0.00001721456,0.0001879101,0.0001161446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007838736,0.0001271538,0.6601641,0.0001946483,0.0003461183,0.00201423,0.0008247919,0.2788927,0.005268066,0.005806657,0.009575649,0.03600201],"study_design_scores_gemma":[0.00006598894,0.00008322753,0.8782218,0.00004176223,0.00008418794,0.0001049941,0.002311306,0.1087351,0.0006039654,0.0005575827,0.00913702,0.00005315732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901118,0.0003914957,0.0002454818,0.0006214068,0.000007324751,0.00002000572,0.001707194,0.00001479499,0.006880423],"genre_scores_gemma":[0.9974962,0.0002172652,0.0001536045,0.00003682466,0.000001750925,0.0000071457,0.0003818119,0.000003271178,0.001702085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04489017,"threshold_uncertainty_score":0.3257025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02815851912604992,"score_gpt":0.2234364531658916,"score_spread":0.1952779340398416,"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."}}