{"id":"W2523125759","doi":"","title":"DUAL-PURPOSE WINTER WHEAT AND STOCKER PRODUCTION By","year":2013,"lang":"en","type":"article","venue":"SHAREOK (University of Oklahoma)","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Royal Bank of Canada; Oklahoma State University","keywords":"Production (economics); Environmental science; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008581345,0.0003870669,0.000331904,0.0006441047,0.000273058,0.0006813646,0.0005702364,0.0003240213,0.006682136],"category_scores_gemma":[0.001084468,0.0001536906,0.000391078,0.0006317535,0.000243748,0.0004045761,0.0004967159,0.0001793064,0.0005654435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108923,"about_ca_system_score_gemma":0.001013412,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004437566,"about_ca_topic_score_gemma":0.007482773,"domain_scores_codex":[0.9993237,0.000239323,0.00004451997,0.0002043517,0.0001278316,0.00006028459],"domain_scores_gemma":[0.9993559,0.0002739414,0.000164981,0.000074167,0.00006657538,0.00006445855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003771095,0.003893057,0.6968704,0.0009958624,0.0003484321,0.0008782402,0.001488834,0.01319392,0.03438729,0.005983437,0.001071892,0.2371175],"study_design_scores_gemma":[0.0005092191,0.01023533,0.9107131,0.0001849531,0.0003560828,0.001164092,0.003132164,0.03121595,0.01419441,0.003965038,0.02425752,0.00007222583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802279,0.0003409088,0.009827897,0.00004883919,0.00001433087,0.0006922175,0.0007728238,0.00003746531,0.008037598],"genre_scores_gemma":[0.9760667,0.0002998505,0.01494395,0.00004703023,0.00001134897,0.0007088061,0.000584311,0.00001139545,0.007326439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006682136,"threshold_uncertainty_score":0.02235395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00622496768869967,"score_gpt":0.1504432767473526,"score_spread":0.144218309058653,"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."}}