{"id":"W7075685502","doi":"","title":"Intensive farming:When less means more on dairy farms","year":2014,"lang":"en","type":"article","venue":"Bristol Research (University of Bristol)","topic":"Theoretical and Computational Physics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Infection and Immunity","funders":"","keywords":"Dairy farming; Production (economics); Dairy cattle; Milk production; Agriculture; Productivity","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001965948,0.0002775299,0.0004792406,0.0005243279,0.00310221,0.004944759,0.0009598351,0.002546884,0.02943749],"category_scores_gemma":[0.004893796,0.0002518136,0.0002802783,0.001010868,0.003864123,0.004020286,0.003139932,0.002221541,0.00155267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002705734,"about_ca_system_score_gemma":0.003668981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01464963,"about_ca_topic_score_gemma":0.04310613,"domain_scores_codex":[0.9977295,0.0007339671,0.000068384,0.000297023,0.0003452063,0.0008260021],"domain_scores_gemma":[0.9948921,0.001126723,0.0008386924,0.0001776178,0.0005547794,0.002409985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003514617,0.001562981,0.2936186,0.00107819,0.0003274007,0.002851937,0.02205302,0.0006126767,0.01402676,0.06510484,0.146937,0.4483121],"study_design_scores_gemma":[0.0002264241,0.0008575088,0.5362844,0.001651287,0.00019979,0.001026575,0.1229876,0.0003128579,0.001381494,0.1116991,0.2232047,0.0001682323],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6723847,0.007011913,0.001781678,0.2203665,0.00212378,0.00006272743,0.000581323,0.00007451639,0.0956128],"genre_scores_gemma":[0.9639324,0.002505658,0.0008502199,0.01967341,0.000826127,0.00004082982,0.0001752451,0.00005317053,0.01194305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02943749,"threshold_uncertainty_score":0.0984782,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03870858959311647,"score_gpt":0.2827934049174811,"score_spread":0.2440848153243646,"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."}}