{"id":"W7044316460","doi":"","title":"'You have allies': Tory MPs welcome convoy figures warning of deep divides in Canada","year":2022,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Politics; Government (linguistics); Warning system; Terrorism","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":[],"consensus_categories":[],"category_scores_codex":[0.0004829257,0.0004426335,0.0003055974,0.0005636847,0.01138685,0.004253817,0.0008083497,0.003338603,0.2006712],"category_scores_gemma":[0.002470655,0.0003085416,0.0002575839,0.000708858,0.001007898,0.00120928,0.001821648,0.004378321,0.03094077],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01214128,"about_ca_system_score_gemma":0.02953703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9369552,"about_ca_topic_score_gemma":0.9845253,"domain_scores_codex":[0.9993294,0.00002299485,0.000006918636,0.00003624968,0.0002692426,0.0003351743],"domain_scores_gemma":[0.998526,0.0000685597,0.00002383454,0.00002948368,0.000566052,0.0007861305],"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":[0.000006018491,0.000003205224,0.0001713724,0.000008592893,6.758654e-7,0.00003368887,0.0001801117,0.000008021283,0.00003808445,0.0008102399,0.9954705,0.003269478],"study_design_scores_gemma":[0.000004655717,0.000003448575,0.001761706,0.0000277783,0.000001895979,0.00001423573,0.001594002,0.00002413619,0.00006518772,0.0001903663,0.9963043,0.000008329288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.008374224,0.003119778,0.0003525561,0.2168703,0.01569684,0.0001312689,0.005936538,0.000804937,0.7487136],"genre_scores_gemma":[0.01357063,0.0005508435,0.0001177731,0.01365635,0.0003409414,0.00001661994,0.0005103683,0.0001602867,0.9710764],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2006712,"threshold_uncertainty_score":0.6713121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005893734298606904,"score_gpt":0.1777188997930534,"score_spread":0.1718251654944465,"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."}}