{"id":"W7036555859","doi":"","title":"Breed contra Beef. The making of Piedmontese Cattle","year":2015,"lang":"en","type":"book-chapter","venue":"Institutional Research Information System University of Turin (University of Turin)","topic":"Sustainable Urban and Rural Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Breed; Consumption (sociology); Mile; Taste; Plank; Quarter (Canadian coin)","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":[0.0009047614,0.000245891,0.00006537069,0.0004323831,0.004660296,0.003481491,0.0003376715,0.00088227,0.01424642],"category_scores_gemma":[0.0009007998,0.0001130269,0.0001099312,0.0006315705,0.003371632,0.001140097,0.001427432,0.001065989,0.001671104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002593494,"about_ca_system_score_gemma":0.001453659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03293832,"about_ca_topic_score_gemma":0.1487329,"domain_scores_codex":[0.9994925,0.0001604474,0.00000634451,0.0000830827,0.0001551397,0.0001024656],"domain_scores_gemma":[0.9998084,0.00004441406,0.00002377948,0.00002039794,0.00003523581,0.00006768667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000307822,0.0001285529,0.01209059,0.0003201902,0.00002543177,0.001355769,0.05777878,0.0001275378,0.01183482,0.2866575,0.3018059,0.327567],"study_design_scores_gemma":[0.000003246814,0.00001890192,0.004815098,0.00007985265,0.000004685634,0.0002173475,0.00580967,0.00001430698,0.0005934627,0.001782901,0.9866546,0.000005996287],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1116864,0.01657145,0.00128639,0.04914796,0.003320025,0.00003263956,0.0002960974,0.00006271574,0.8175964],"genre_scores_gemma":[0.5489622,0.009252641,0.003351941,0.02143992,0.001105221,0.00002781938,0.0003099059,0.000105079,0.4154452],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03293832,"threshold_uncertainty_score":0.06549323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09874811410994283,"score_gpt":0.2892393097260891,"score_spread":0.1904911956161462,"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."}}