{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001700671,0.0002166619,0.0002167329,0.00005619244,0.0001070282,0.0000602349,0.0001630481,0.0003423678,0.0005661311],"category_scores_gemma":[0.00006258125,0.0001927143,0.00007516301,0.00001514477,0.00005346967,0.000002129464,0.00008413896,0.0001304241,0.00006991102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001303332,"about_ca_system_score_gemma":0.0001258839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003677315,"about_ca_topic_score_gemma":0.001477111,"domain_scores_codex":[0.999109,0.00002354903,0.0002522799,0.0002807196,0.000139655,0.0001948178],"domain_scores_gemma":[0.9981109,0.000002136996,0.0009098618,0.0008727579,0.00002451984,0.00007982343],"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":[0.000007303283,0.00001371915,0.0006310522,0.00011522,0.00003268333,0.000004967555,0.00001298311,0.000002021659,0.000132177,0.00006174987,0.9984218,0.000564289],"study_design_scores_gemma":[0.0001168657,0.0002847782,0.0002307489,0.00007329713,0.000006444872,0.00006229439,0.000005157707,0.00008057561,0.0001356023,0.000006232319,0.99878,0.0002179739],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00006050243,0.0005005237,0.002768431,0.0007851203,0.0004590456,0.0003281642,0.00002163411,0.00008427536,0.9949923],"genre_scores_gemma":[0.01119913,0.0002646344,0.005664043,0.0005916892,0.0009169017,0.00001489724,0.001612983,0.000223412,0.9795123],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01547999,"threshold_uncertainty_score":0.7858661,"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."}}