{"id":"W6931289075","doi":"10.5281/zenodo.5626811","title":"Salmonema","year":2016,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Milk Quality and Mastitis in Dairy Cows","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Period (music); Field (mathematics)","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":[0.0001061352,0.0006484727,0.0001726947,0.0007459661,0.001022548,0.0003498388,0.0002822498,0.0003593906,0.03212285],"category_scores_gemma":[0.0001833563,0.0001976931,0.0002974484,0.000257362,0.0002335045,0.0004367524,0.0008169369,0.0004269113,0.01618821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004278553,"about_ca_system_score_gemma":0.0003974394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007464902,"about_ca_topic_score_gemma":0.01233836,"domain_scores_codex":[0.9998922,0.000006982198,0.0000104901,0.00003834322,0.00002249456,0.00002935565],"domain_scores_gemma":[0.9998477,0.00001124945,0.00003168834,0.00001487587,0.00006637099,0.0000280719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008938681,0.0004159974,0.05613064,0.00120743,0.00004962816,0.001535035,0.001024949,0.0008013392,0.5827063,0.004259074,0.02853557,0.3224402],"study_design_scores_gemma":[0.0002127372,0.002594665,0.4792789,0.0006481418,0.0001407207,0.005982405,0.001759567,0.001905105,0.06443764,0.001584759,0.4413701,0.00008528983],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6022133,0.005488597,0.007797526,0.0005073957,0.0005163829,0.001143409,0.01436448,0.002521993,0.3654469],"genre_scores_gemma":[0.7977566,0.00147722,0.004479953,0.0006441803,0.00008003099,0.0002968562,0.008267689,0.0000849648,0.1869124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03212285,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04949489712541643,"score_gpt":0.230290635119907,"score_spread":0.1807957379944906,"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."}}