{"id":"W7098062886","doi":"","title":"1 Managing for Today’s Cattle Market and Beyond Cattle Identification – The Canadian Experience By","year":2015,"lang":"en","type":"article","venue":"","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Beef cattle; Dairy industry; TRACE (psycholinguistics); Dairy cattle; Beef industry","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":[0.004243112,0.0005660926,0.000253604,0.001055555,0.01910719,0.00668736,0.002336703,0.002289157,0.024668],"category_scores_gemma":[0.003642154,0.0003402008,0.0003617881,0.002666989,0.005421385,0.00429851,0.003057244,0.003360253,0.002598408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06304265,"about_ca_system_score_gemma":0.146245,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9863989,"about_ca_topic_score_gemma":0.9950171,"domain_scores_codex":[0.9964842,0.0003772588,0.00006283235,0.0003411051,0.001563126,0.001171447],"domain_scores_gemma":[0.9942742,0.0002381335,0.0001598281,0.000187523,0.002485667,0.00265469],"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":[0.00008452284,0.000247323,0.02156807,0.0003387549,0.00002106767,0.001491935,0.03991508,0.0005295817,0.002996969,0.03840203,0.5632229,0.3311818],"study_design_scores_gemma":[0.000005086328,0.00003165182,0.01497243,0.0001505609,0.000007131205,0.0003731095,0.01930339,0.0001408155,0.0003558625,0.0009511552,0.9636563,0.00005241456],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1199633,0.02472066,0.007818517,0.3268242,0.004159006,0.0003140674,0.001496142,0.0005919716,0.5141122],"genre_scores_gemma":[0.470336,0.0347949,0.02024509,0.0343809,0.0005491706,0.00007871035,0.00130212,0.0006199444,0.4376932],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.06304265,"threshold_uncertainty_score":0.4574085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02562301170165573,"score_gpt":0.2384056602078646,"score_spread":0.2127826485062088,"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."}}