{"id":"W7052601635","doi":"","title":"SHORT CUTS #226 - Postmedia's Hard Right Turn","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Peptidase Inhibition and Analysis","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Newspaper; Work (physics); Supporter; Government (linguistics)","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":[0.0006776836,0.0008340664,0.0005823128,0.001541376,0.003713263,0.006960644,0.001071453,0.004907706,0.8068432],"category_scores_gemma":[0.005138931,0.0006582381,0.0004506177,0.001222283,0.0008693131,0.002873872,0.002272997,0.003099401,0.7006267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002893648,"about_ca_system_score_gemma":0.003273891,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04263446,"about_ca_topic_score_gemma":0.1308631,"domain_scores_codex":[0.9989993,0.00006765396,0.00003103793,0.00007310918,0.0006437023,0.0001852419],"domain_scores_gemma":[0.9956502,0.0005206624,0.0001103205,0.0002688542,0.00221788,0.001232184],"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":[0.0000100384,0.000007832974,0.0000160289,0.00001352397,2.8845e-7,0.000009506115,0.000008496549,0.000002863029,0.00004793841,0.0003950716,0.9934351,0.006053272],"study_design_scores_gemma":[0.000005075789,0.000007638499,0.0002928188,0.00002636219,5.856933e-7,0.00001124167,0.00004919631,0.00001211227,0.00005241017,0.0002059978,0.9993328,0.00000375839],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0002673708,0.0004193884,0.0002240431,0.006930813,0.007733485,0.0001360139,0.002382066,0.001082713,0.9808241],"genre_scores_gemma":[0.0003895327,0.00007663548,0.00005367655,0.00138857,0.0004426568,0.00002423421,0.0003765427,0.0001625883,0.9970856],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8068432,"threshold_uncertainty_score":0.2755147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006100798414545324,"score_gpt":0.1991280974272009,"score_spread":0.1930272990126556,"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."}}