{"id":"W7030414789","doi":"","title":"MSG Networks Inc. Reports Fiscal 2018 Third Quarter Results","year":2018,"lang":"en","type":"other","venue":"","topic":"IL-33, ST2, and ILC Pathways","field":"Immunology and Microbiology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Government (linguistics); Work (physics); Data collection; Unemployment","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":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003869169,0.0005450439,0.0007068379,0.000203634,0.0001685794,0.00002770593,0.0003192889,0.002422673,0.01107941],"category_scores_gemma":[0.00008248342,0.0004213125,0.0001741535,0.0001234804,0.0004686438,0.00004718953,0.0001686221,0.0006011605,0.01529962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003621336,"about_ca_system_score_gemma":0.00008900941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000812105,"about_ca_topic_score_gemma":0.001170666,"domain_scores_codex":[0.9973764,0.0002066761,0.0007090702,0.0008931065,0.00006108276,0.0007536933],"domain_scores_gemma":[0.9980791,0.00007334189,0.0005259937,0.001202767,0.00006778744,0.00005099257],"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":[0.0001285858,0.00008052927,0.00008569381,0.00002170453,0.0002931263,0.00008821886,0.0001039876,2.327085e-7,0.0002917251,0.0001346262,0.9983298,0.0004417577],"study_design_scores_gemma":[0.000830668,0.0002809764,0.0001445973,0.0001259968,0.00007332669,0.0003417795,0.00005075239,0.000002885135,0.0003126347,0.00007658081,0.9972087,0.0005511658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00004830939,0.001186032,0.0006267675,0.00009842795,0.00891678,0.0003631049,0.001150725,0.0006077053,0.9870021],"genre_scores_gemma":[0.002422092,0.0002516594,0.0001705514,0.0005325233,0.001604804,0.00002334015,0.002760721,0.0002624741,0.9919719],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.007311977,"threshold_uncertainty_score":0.9998239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009749119555167341,"score_gpt":0.217420341168704,"score_spread":0.2076712216135367,"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."}}