{"id":"W7070663955","doi":"","title":"Phibro Animal Health Corporation Reports First Quarter","year":2017,"lang":"en","type":"other","venue":"","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Corporation; Quarter (Canadian coin); Animal health; Public health","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002616373,0.00109592,0.0007193901,0.002095026,0.001360874,0.004376835,0.001614327,0.002330306,0.6133757],"category_scores_gemma":[0.004090297,0.0005430453,0.0006974755,0.00106624,0.001049458,0.001549928,0.001570102,0.00294537,0.4818375],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001453957,"about_ca_system_score_gemma":0.004634832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008382427,"about_ca_topic_score_gemma":0.02407753,"domain_scores_codex":[0.9988427,0.0001059299,0.00003207773,0.0001438585,0.0006971073,0.0001783321],"domain_scores_gemma":[0.9958214,0.0004905265,0.0001444634,0.0006660708,0.001447023,0.001430607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008179312,0.0001670108,0.0002824473,0.00004842982,0.000003951357,0.00003831301,0.00001366108,0.00009877337,0.0004476648,0.002370063,0.947683,0.04876475],"study_design_scores_gemma":[0.00002374287,0.00004536242,0.0007164471,0.00003239316,0.00000327484,0.00002750119,0.00002305389,0.0003529194,0.0006171043,0.001201313,0.9969505,0.000006374579],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001483526,0.000584034,0.002783684,0.004664214,0.002907543,0.0002223351,0.008276893,0.00487497,0.9742028],"genre_scores_gemma":[0.001446716,0.000193284,0.000691039,0.0004680767,0.0001663862,0.00004922999,0.003386409,0.0005450867,0.9930537],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6133757,"threshold_uncertainty_score":0.5514727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008530448784602256,"score_gpt":0.2720274599848017,"score_spread":0.2634970112001994,"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."}}