{"id":"W7096882904","doi":"","title":"Beef Supply Response Under Uncertainty: An ADL Approach","year":2011,"lang":"en","type":"article","venue":"","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Data collection; Work (physics); Government (linguistics)","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":[0.004165823,0.001199334,0.001587762,0.002716587,0.0006919031,0.004614622,0.002339049,0.002093166,0.01059261],"category_scores_gemma":[0.009242862,0.0008146244,0.001447938,0.002239599,0.001559814,0.002482493,0.002302194,0.001734132,0.0008115066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00442923,"about_ca_system_score_gemma":0.002144999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01629688,"about_ca_topic_score_gemma":0.008434011,"domain_scores_codex":[0.9983175,0.001022498,0.00006658387,0.0002414176,0.000202068,0.0001500409],"domain_scores_gemma":[0.9951514,0.003588451,0.000470968,0.0001950475,0.0004639837,0.000130132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001440731,0.00009331559,0.002645227,0.0002490325,0.0003515836,0.0004414726,0.0001742015,0.7879936,0.0006540047,0.1720727,0.002815605,0.03236518],"study_design_scores_gemma":[0.00001616138,0.00006812029,0.0005163831,0.00003900082,0.00007349604,0.00003860012,0.000186417,0.8720825,0.000150549,0.1238258,0.002975784,0.00002712914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06137288,0.002234155,0.8651219,0.008796837,0.0004300575,0.0002403512,0.002348959,0.0004793508,0.05897547],"genre_scores_gemma":[0.8887249,0.002306956,0.07803018,0.0008709856,0.0005689968,0.000432874,0.0007610145,0.0002016206,0.02810245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01629688,"threshold_uncertainty_score":0.0354358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0427336277859209,"score_gpt":0.2216031869007031,"score_spread":0.1788695591147822,"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."}}