{"id":"W7027620799","doi":"","title":"Corus Entertainment to buy Shaw Media","year":2016,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entertainment; Variety (cybernetics); Position (finance); Globe; Entertainment industry","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":[0.0005099747,0.0007305566,0.0002769864,0.002385515,0.006422191,0.006914554,0.0006984693,0.0015068,0.4774916],"category_scores_gemma":[0.001980472,0.0004212104,0.0003733761,0.00174036,0.0006758473,0.002987285,0.002271935,0.002344783,0.1589917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007235233,"about_ca_system_score_gemma":0.01443587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4119341,"about_ca_topic_score_gemma":0.7221968,"domain_scores_codex":[0.9988637,0.00004038195,0.00001541454,0.00009206289,0.0007042988,0.0002841963],"domain_scores_gemma":[0.9978593,0.00005982312,0.00002785724,0.0001274141,0.001138954,0.0007866395],"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":[0.00001127804,0.00001911175,0.0001645696,0.00002716076,7.873969e-7,0.00005572251,0.0001228221,0.00001306839,0.00009751145,0.009437983,0.9687616,0.02128834],"study_design_scores_gemma":[0.000002603668,0.000002984204,0.0002907082,0.00002435772,6.266313e-7,0.00003810972,0.0001772817,0.0000181729,0.00007159767,0.0002613822,0.9991078,0.000004440332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0005211544,0.0003025409,0.00008270621,0.000984546,0.0002994988,0.000028815,0.0005979323,0.0003549825,0.9968278],"genre_scores_gemma":[0.003509122,0.000280544,0.0001236636,0.0006383356,0.00005511935,0.00001315401,0.0005889069,0.0002838317,0.9945074],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4774916,"threshold_uncertainty_score":0.8190728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340593368545178,"score_gpt":0.2566413696985494,"score_spread":0.2432354360130976,"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."}}