{"id":"W7066542125","doi":"","title":"Justin Trudeau's Symbolic Politics Long on Gesture, Short on Goods","year":2017,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"X-ray Spectroscopy and Fluorescence Analysis","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Prime minister; Treaty; Theme (computing); Politics; Payment; Revenue","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001410337,0.0005108766,0.0006411093,0.0001355519,0.0002011097,0.0001240918,0.0005768956,0.0003207431,0.1658857],"category_scores_gemma":[0.0000292016,0.0004779669,0.0003526768,0.000008927917,0.0001631181,3.575113e-7,0.0000709271,0.0005209275,0.008913032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000503663,"about_ca_system_score_gemma":0.00004668955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004921523,"about_ca_topic_score_gemma":0.0003250657,"domain_scores_codex":[0.9981549,0.00005331614,0.0004947647,0.0003131335,0.0005054254,0.0004784936],"domain_scores_gemma":[0.9982727,0.00007406788,0.0005431843,0.000856744,0.00008008807,0.0001732854],"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":[0.00003689867,0.0001175329,0.00008688428,0.0001223014,0.0002188049,0.00001144641,0.00005306022,0.0001687619,3.148329e-7,0.001434325,0.9941819,0.00356779],"study_design_scores_gemma":[0.0003003305,0.0001961888,0.0001136891,0.0004707671,0.000217088,0.00000345923,0.00005560204,0.00002493255,0.00007162048,0.0000415012,0.9980559,0.0004488822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001742742,0.00007733116,0.000002473573,0.000102395,0.0002792461,0.0003258073,0.0002943822,0.00009433109,0.9986498],"genre_scores_gemma":[0.02194596,0.00007463629,0.000179999,0.0001937809,0.001000709,0.00001844789,0.000435612,0.0001313823,0.9760195],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1569727,"threshold_uncertainty_score":0.9997672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006830438842852309,"score_gpt":0.2204611659076688,"score_spread":0.2136307270648165,"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."}}