{"id":"W644218794","doi":"10.13130/bisaglia-carlo_phd2013-02-13","title":"AUTOMAZIONE DELLA PREPARAZIONE E DISTRIBUZIONE DI RAZIONI COMPLETAMENTE MISCELATE (TMR) O UNIFEED PER BOVINE DA LATTE: POSSIBILITA' TECNOLOGICHE E RICADUTE PRODUTTIVE, GESTIONALI ED ECONOMICHE","year":2013,"lang":"en","type":"dissertation","venue":"Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano)","topic":"Diverse academic and cultural studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Wageningen University and Research","keywords":"Humanities; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0005296039,0.001429541,0.002161095,0.0006933241,0.001796265,0.0002494523,0.00159503,0.0007701988,0.002499879],"category_scores_gemma":[0.000219997,0.001511631,0.0008212781,0.0007391025,0.0007067179,0.0007204913,0.0008183518,0.00146697,0.006003884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200061,"about_ca_system_score_gemma":0.0002316894,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009488545,"about_ca_topic_score_gemma":0.0002311936,"domain_scores_codex":[0.9936036,0.0001624657,0.001748904,0.002688952,0.000427063,0.00136898],"domain_scores_gemma":[0.995727,0.0004282035,0.001817447,0.001060941,0.0004882438,0.0004781617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003364376,0.00426268,0.0912335,0.001633993,0.01492922,0.0004205285,0.01250403,0.002365843,0.001292194,0.5078821,0.3530278,0.007083777],"study_design_scores_gemma":[0.005937072,0.0007584761,0.4785682,0.000556177,0.001235654,0.0000750565,0.007300998,0.002595923,0.00005468666,0.0104766,0.4879944,0.004446714],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7657289,0.02690115,0.0004157333,0.002428323,0.001801233,0.002863366,0.005708155,0.0004966843,0.1936565],"genre_scores_gemma":[0.7239835,0.01803177,0.001763819,0.0004044006,0.0005848119,0.0002749009,0.01528819,0.0002074156,0.2394612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4974055,"threshold_uncertainty_score":0.9998454,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03032265459320778,"score_gpt":0.230309008037957,"score_spread":0.1999863534447492,"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."}}