{"id":"W2223293273","doi":"10.15414/jmbfs.2015.5.1.60-63","title":"THE EFFECT OF INDIVIDUAL COMPONENTS OF TOTAL MIXED RATION (TMR) ON PRECISION DOSING TO MIXER FEEDER WAGONS","year":2015,"lang":"en","type":"article","venue":"Journal of Microbiology Biotechnology and Food Sciences","topic":"Soil Mechanics and Vehicle Dynamics","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Silage; Barn; Total mixed ration; Fodder; Animal science; Stopwatch; Straw; Mathematics; Engineering; Biology; Agronomy; Statistics","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":[0.0009784838,0.0005384352,0.0004202432,0.0003891065,0.0001966823,0.000629855,0.0003724825,0.0003749498,0.001240102],"category_scores_gemma":[0.003335358,0.0002277925,0.0003728607,0.0004402742,0.0002276329,0.0003018536,0.0003800336,0.0004840684,0.0003378382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002815489,"about_ca_system_score_gemma":0.0001750382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001236211,"about_ca_topic_score_gemma":0.001417879,"domain_scores_codex":[0.9983935,0.0004625134,0.000135872,0.0003403054,0.0005521541,0.0001156411],"domain_scores_gemma":[0.9977069,0.0009395377,0.0006163046,0.0002203977,0.0003847792,0.0001321137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.01702832,0.001027762,0.01897502,0.0005923032,0.0002405021,0.0001383533,0.0004784848,0.001758014,0.8911207,0.00008391005,0.0002599237,0.06829666],"study_design_scores_gemma":[0.0001180738,0.03060712,0.1063764,0.00006829954,0.000435301,0.0002067607,0.000273014,0.003726286,0.8523102,0.00007727116,0.005756622,0.00004481235],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996327,0.0008831273,0.001758843,0.00002849201,0.00004383405,0.00004656544,0.0001655917,0.00004249514,0.0007041271],"genre_scores_gemma":[0.9890649,0.0006874491,0.007163217,0.0000945592,0.00003370345,0.00004817807,0.0003935791,0.00007558541,0.00243877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001240102,"threshold_uncertainty_score":0.005174756,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01703956790818262,"score_gpt":0.2351279133669334,"score_spread":0.2180883454587508,"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."}}