{"id":"W4411659604","doi":"10.51847/oy2nnjx","title":"10.51847/Oy2nNJX","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Agricultural economics and policies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Culling; Herd; Animal science; Dairy cattle; Agricultural science; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007155901,0.00121416,0.0006731536,0.001650147,0.001099088,0.002554447,0.001012804,0.003047053,0.9723499],"category_scores_gemma":[0.001198888,0.0004009507,0.0005734652,0.002065574,0.0008561437,0.001835601,0.001786072,0.00106766,0.9554764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136812,"about_ca_system_score_gemma":0.0007971355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007314942,"about_ca_topic_score_gemma":0.00713883,"domain_scores_codex":[0.9995908,0.0000413548,0.00003385035,0.0001288801,0.0001205504,0.00008453606],"domain_scores_gemma":[0.9991632,0.0002216917,0.00006201435,0.0001302953,0.0002299371,0.0001929502],"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":[0.0004201157,0.0002831068,0.001590269,0.0004517544,0.00002494204,0.0003153569,0.0001228342,0.0006987137,0.003209155,0.007776428,0.2796587,0.7054485],"study_design_scores_gemma":[0.00004098205,0.00004172436,0.00114076,0.0001568302,0.000009461726,0.0001379862,0.0001092742,0.0004308975,0.0004248217,0.001001946,0.9964935,0.00001178679],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001819205,0.0003732993,0.001554374,0.0008729921,0.0005003333,0.00009967168,0.001408673,0.0007295486,0.9926419],"genre_scores_gemma":[0.002369168,0.0001764233,0.0006638932,0.0002110272,0.00004190599,0.00003855462,0.0005491801,0.0001938288,0.995756],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02765006,"threshold_uncertainty_score":0.03943944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008174316311014899,"score_gpt":0.2058557061191322,"score_spread":0.1976813898081173,"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."}}