{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007481695,0.000535287,0.0004557291,0.0007013442,0.0004229191,0.00127193,0.0005407048,0.0005173085,0.002575463],"category_scores_gemma":[0.0005647229,0.0003240655,0.0004158736,0.0006909487,0.0003177026,0.0005475727,0.0006133632,0.0006037675,0.001879861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000257296,"about_ca_system_score_gemma":0.0005952223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00106439,"about_ca_topic_score_gemma":0.001827707,"domain_scores_codex":[0.9992638,0.0001150413,0.00004771348,0.0002396057,0.0002711304,0.00006265601],"domain_scores_gemma":[0.9997054,0.00008534132,0.00008178115,0.00005273283,0.00005333551,0.00002140856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004101249,0.000220753,0.002094663,0.0009110965,0.00002088016,0.00009032578,0.000154104,0.0005859738,0.7119573,0.0005403613,0.001103346,0.2819112],"study_design_scores_gemma":[0.0001004705,0.00315249,0.02076139,0.0002333108,0.0001730467,0.001074546,0.0001725361,0.007074413,0.8457378,0.0005775967,0.1208632,0.00007904596],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5579836,0.1148607,0.2970522,0.001189748,0.001003151,0.00143302,0.001617212,0.003410989,0.02144932],"genre_scores_gemma":[0.5429326,0.04451512,0.3852634,0.000670302,0.0005995995,0.000947045,0.001739948,0.0004730208,0.022859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002575463,"threshold_uncertainty_score":0.008615792,"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."}}