{"id":"W7055399977","doi":"","title":"Characterization of quarter milk yield losses during clinical mastitis in dairy cows","year":2021,"lang":"en","type":"article","venue":"Lirias","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mastitis; Dairy cattle; Quarter (Canadian coin); Milk production","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":[0.0006355422,0.0001618642,0.0003046647,0.0008659884,0.0003038111,0.0007213713,0.0003000085,0.0003404582,0.001183279],"category_scores_gemma":[0.001143289,0.0001201114,0.0001728452,0.0006231537,0.0002372142,0.0002026708,0.0002517961,0.0002091003,0.0003630769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005939431,"about_ca_system_score_gemma":0.0002832888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004695728,"about_ca_topic_score_gemma":0.00351081,"domain_scores_codex":[0.999694,0.00005335138,0.00002243282,0.00005235811,0.0001071129,0.00007078824],"domain_scores_gemma":[0.9992658,0.0001434146,0.0003010447,0.00003080079,0.000183109,0.00007584401],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003674191,0.0001794087,0.9098882,0.00009729237,0.00006265777,0.000460711,0.0005006344,0.0002399619,0.06310308,0.00004839887,0.0003098687,0.02143554],"study_design_scores_gemma":[0.000003963871,0.00036075,0.9958358,0.000006654614,0.00001346887,0.0002301658,0.0002555729,0.0001739611,0.002644623,0.00001045561,0.0004615482,0.000003079448],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987029,0.0003617515,0.0001017727,0.00001799134,0.000002727276,0.000005462123,0.0004136325,0.000005048291,0.0003886985],"genre_scores_gemma":[0.99763,0.0002316353,0.0001776039,0.00002235516,0.000007276315,0.000009401328,0.0008335155,0.000004229048,0.00108403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004695728,"threshold_uncertainty_score":0.00933677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0268395078736339,"score_gpt":0.294825328998131,"score_spread":0.2679858211244971,"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."}}