{"id":"W4200006288","doi":"10.21203/rs.3.rs-188181/v1","title":"Climate Change Influence On Ontario Corn Farms’ Income.","year":2021,"lang":"en","type":"preprint","venue":"Research Square","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Climate change; Agricultural economics; Environmental science; Business; Economics; Geology; Oceanography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0001991225,0.0001374992,0.0001207583,0.0001691475,0.0002923339,0.0006075597,0.0002455246,0.0001913963,0.002231819],"category_scores_gemma":[0.00091158,0.00009114984,0.0002137679,0.0003978374,0.0002885586,0.0002425238,0.0002062871,0.000162636,0.0001235713],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007385732,"about_ca_system_score_gemma":0.002356828,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8401316,"about_ca_topic_score_gemma":0.897938,"domain_scores_codex":[0.9999186,0.0000117037,0.000002590172,0.00001797233,0.00002498819,0.00002413179],"domain_scores_gemma":[0.9996914,0.0000819713,0.00007706987,0.00001738933,0.00009103654,0.00004115162],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002897381,0.00003913743,0.6114439,0.00006912066,0.0001013698,0.0003479713,0.0002981576,0.3693636,0.003437256,0.002704039,0.002788062,0.009117652],"study_design_scores_gemma":[0.00002031944,0.00003973272,0.7848248,0.00001260356,0.00003158959,0.00004781149,0.0003864199,0.2076672,0.0009328822,0.0009038452,0.005110262,0.00002260772],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920166,0.0001238731,0.0007099388,0.0002025125,0.000006077851,0.0000115521,0.002623525,0.00001515531,0.004290855],"genre_scores_gemma":[0.9980605,0.00004861593,0.0001324378,0.000004812752,0.000001484711,0.000002225087,0.0005584621,0.000002523803,0.001188942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1598684,"threshold_uncertainty_score":0.3216198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1057341910881989,"score_gpt":0.3407574117089232,"score_spread":0.2350232206207243,"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."}}