{"id":"W80452396","doi":"","title":"Ontario throne speeches through the lens of mass media","year":2008,"lang":"en","type":"article","venue":"Canadian parliamentary review","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Throne; Legislature; Section (typography); Newspaper; Political science; Politics; Media studies; Mass media; Law; Sociology; Advertising; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.001583377,0.0003284045,0.0002693045,0.005979698,0.00664233,0.00650939,0.0006607251,0.0007001263,0.01099001],"category_scores_gemma":[0.005939332,0.0002503476,0.0001823433,0.008712154,0.002612026,0.002258104,0.00151834,0.0008764192,0.0007864517],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0542543,"about_ca_system_score_gemma":0.04218008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9599508,"about_ca_topic_score_gemma":0.991552,"domain_scores_codex":[0.9979901,0.0003638067,0.00004740002,0.0001514351,0.00111966,0.0003276624],"domain_scores_gemma":[0.9964411,0.001091848,0.0005256862,0.0001485862,0.001513574,0.0002791828],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000221796,0.00003783052,0.03683225,0.001929259,0.00009687006,0.001190379,0.3856019,0.0003816401,0.002535898,0.1437017,0.2109512,0.2165191],"study_design_scores_gemma":[0.000006951892,0.00001277537,0.06582549,0.0006292019,0.00005637091,0.0001044624,0.07041518,0.0001231493,0.000611237,0.001876075,0.8603133,0.00002580853],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1574922,0.04057407,0.001346115,0.03066646,0.0008225825,0.00008214124,0.003776442,0.00008834439,0.7651517],"genre_scores_gemma":[0.8506238,0.02802527,0.0009397985,0.00165382,0.0003858128,0.00004964332,0.0006779542,0.00006244586,0.1175814],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0542543,"threshold_uncertainty_score":0.3936443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0657307392783883,"score_gpt":0.2545878651708821,"score_spread":0.1888571258924938,"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."}}