{"id":"W2050429466","doi":"10.1111/j.1744-7976.2000.tb00281.x","title":"Price‐Weight Relationships for Feeder Cattle","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Economics of Agriculture and Food Markets","field":"Economics, Econometrics and Finance","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Feeder cattle; Agricultural science; Beef cattle; Economics; Animal science; Welfare economics; Mathematics; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005077213,0.0001628331,0.0001913819,0.0007925523,0.0001453539,0.0005533158,0.0002234119,0.000213225,0.006858359],"category_scores_gemma":[0.003460485,0.0001300544,0.0004101659,0.00111664,0.0001424215,0.0005494661,0.0002756331,0.0002708975,0.0005873848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003757164,"about_ca_system_score_gemma":0.0001146213,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009176587,"about_ca_topic_score_gemma":0.0118341,"domain_scores_codex":[0.9997249,0.00004258184,0.00002552469,0.00007816576,0.00008991137,0.00003890851],"domain_scores_gemma":[0.9979252,0.0007663099,0.0008976393,0.0001300227,0.000199827,0.00008090874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009498557,0.00003430596,0.9811785,0.00002649741,0.0001284144,0.0001323977,0.0001782361,0.002185696,0.001563857,0.0002496834,0.0002240497,0.01400335],"study_design_scores_gemma":[0.000001377617,0.00005046384,0.9972146,0.000002575231,0.000012985,0.0001079733,0.00006841424,0.001827464,0.000189769,0.0001197329,0.0004006976,0.000003924366],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976861,0.00008600041,0.0003916475,0.00001515892,0.000001545569,0.000003735107,0.0008169134,0.000005699976,0.000993047],"genre_scores_gemma":[0.9964091,0.00008869761,0.0003293559,0.000006027584,0.000004454336,0.00000465309,0.001688318,0.000004187056,0.00146521],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9908234,"threshold_uncertainty_score":0.02294344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03576460382147647,"score_gpt":0.1601796991106915,"score_spread":0.124415095289215,"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."}}