{"id":"W7053211329","doi":"","title":"Trudeau destroying energy industry; Western alienation like never before; Fake outrage over French language services","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Outrage; French; Human rights; Alienation; Energy (signal processing); Politics; French revolution; Newspaper","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":[0.001106259,0.000633145,0.0002365935,0.001244274,0.02808373,0.009119388,0.0006433673,0.004551315,0.02332984],"category_scores_gemma":[0.002738793,0.0002608787,0.0003430446,0.001189529,0.0136401,0.003866999,0.002985689,0.005159437,0.003611621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01152719,"about_ca_system_score_gemma":0.004654078,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4190697,"about_ca_topic_score_gemma":0.5401271,"domain_scores_codex":[0.9980933,0.0005365944,0.00002787148,0.0001775121,0.0005027592,0.0006618996],"domain_scores_gemma":[0.9987526,0.0003632322,0.0001338086,0.000110625,0.0003968471,0.000242919],"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":[0.00003979095,0.00002864526,0.001682912,0.0001205629,0.0000120527,0.001248846,0.05322599,0.00008242556,0.0005963649,0.1541271,0.7695932,0.019242],"study_design_scores_gemma":[0.000002183806,0.000005631152,0.001294638,0.00005145496,0.000003166943,0.0001956628,0.02605616,0.00002760391,0.0002086443,0.001229012,0.9709113,0.00001454435],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02494146,0.008070629,0.0007732453,0.2143579,0.004005548,0.00002674555,0.0002042117,0.0003500012,0.7472702],"genre_scores_gemma":[0.3578924,0.003780839,0.000298225,0.06607175,0.0008661156,0.00002978883,0.0001044443,0.0003404791,0.570616],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5809304,"threshold_uncertainty_score":0.8332608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002961371677892883,"score_gpt":0.1727558465027632,"score_spread":0.1697944748248703,"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."}}