{"id":"W6964237318","doi":"10.25318/3210033501-eng","title":"Cattle, weighted average prices, steers","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Contingency table; Term (time); Statistical analysis; Weighted arithmetic mean","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":[0.0009667649,0.00140091,0.001247677,0.004083225,0.00058517,0.002598543,0.002117045,0.001161881,0.09435865],"category_scores_gemma":[0.01082444,0.000681324,0.00114157,0.01528763,0.000330007,0.001417364,0.0008225893,0.001469086,0.07324237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00394804,"about_ca_system_score_gemma":0.005939653,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4577496,"about_ca_topic_score_gemma":0.5047899,"domain_scores_codex":[0.9986448,0.0001378877,0.0002031963,0.0003656466,0.0004462347,0.0002022819],"domain_scores_gemma":[0.9950741,0.000860904,0.0006906207,0.0007431007,0.002333576,0.0002977132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004470481,0.00001206188,0.002360275,0.0002931099,0.00003163006,0.00000660977,0.00000820943,0.0002475149,0.00001761743,0.0002933736,0.994893,0.001792038],"study_design_scores_gemma":[0.0003168535,0.00002255987,0.02893378,0.0004502772,0.00006604264,0.00004542067,0.0001249374,0.0006324435,0.0001317849,0.001144116,0.968084,0.0000477022],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007210012,0.00003791685,0.00001622459,0.00003415732,0.00001259514,0.000003468358,0.9993925,0.00003678786,0.0003942191],"genre_scores_gemma":[0.0006602575,0.0001141712,0.0001397272,0.00004906294,0.00001274497,0.00003919096,0.9973986,0.00003514298,0.001551125],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5422504,"threshold_uncertainty_score":0.9101705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007285769954528799,"score_gpt":0.2580478755965815,"score_spread":0.2507621056420528,"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."}}