{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003656042,0.001166821,0.0007827821,0.002756828,0.001852915,0.008625209,0.002060382,0.002861738,0.660496],"category_scores_gemma":[0.009295335,0.0004753513,0.0008737318,0.002469014,0.0008347796,0.002857398,0.002432885,0.002807242,0.6547767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002712959,"about_ca_system_score_gemma":0.007514232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009052235,"about_ca_topic_score_gemma":0.01584726,"domain_scores_codex":[0.9970717,0.000221936,0.000126764,0.0002541274,0.001832637,0.000492896],"domain_scores_gemma":[0.9938605,0.0005044842,0.0002861421,0.0007107045,0.003190283,0.001447902],"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":[0.00002341549,0.00002694088,0.00008634008,0.00002974634,0.000001286441,0.00001890478,0.000007231732,0.0000265435,0.00007028462,0.001615709,0.9868214,0.01127238],"study_design_scores_gemma":[0.00001370855,0.00001156116,0.0003155704,0.00004664221,0.000001495926,0.00001731839,0.0000258355,0.00004631518,0.000146057,0.0005450495,0.9988266,0.000003949609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005502513,0.0009406444,0.0008675082,0.01359422,0.01136223,0.0002227824,0.02134076,0.004179713,0.9469419],"genre_scores_gemma":[0.001867451,0.0008250272,0.0003604703,0.002217782,0.001101234,0.0001119895,0.01106236,0.0008572718,0.9815964],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.660496,"threshold_uncertainty_score":0.4842612,"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."}}