{"id":"W6888993682","doi":"10.25384/sage.24103936","title":"Supplemental Material - Issue Responsiveness in Canadian Politics: Are Parties Responsive to the Public Salience of Climate Change in the Question Period?","year":2023,"lang":"en","type":"article","venue":"Sage Journals Data","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Salience (neuroscience); Climate change; Politics; Political economy of climate change; Scientific consensus; Public support","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":[0.001644725,0.001108351,0.0009170916,0.007407303,0.0041148,0.003191812,0.001974236,0.001240526,0.675204],"category_scores_gemma":[0.03947501,0.0007048979,0.001045369,0.0123968,0.0005290805,0.001733639,0.00158041,0.001556945,0.1132435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0102533,"about_ca_system_score_gemma":0.01919523,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6573061,"about_ca_topic_score_gemma":0.7808115,"domain_scores_codex":[0.9977337,0.0001519717,0.0001635455,0.0001695883,0.001443315,0.0003378883],"domain_scores_gemma":[0.9424306,0.01585714,0.001663446,0.001947376,0.03584897,0.00225251],"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":[0.00005763063,0.000112637,0.002965609,0.0002900716,0.00001025086,0.00003406056,0.0001931363,0.00009741289,0.0001031688,0.0009943394,0.9840367,0.01110496],"study_design_scores_gemma":[0.0002824834,0.00006299048,0.0898886,0.0007105831,0.00005215102,0.000157588,0.001687108,0.0007042643,0.0005835277,0.004707751,0.9010184,0.0001445974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002031907,0.000104095,0.0007682046,0.00154652,0.0005527213,0.0003748686,0.9544944,0.0009120181,0.03921534],"genre_scores_gemma":[0.01774442,0.0005047553,0.006635054,0.001313706,0.0004047278,0.001522978,0.9019346,0.0009034682,0.06903615],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.675204,"threshold_uncertainty_score":0.6894242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4039197195328738,"score_gpt":0.4923931511951761,"score_spread":0.08847343166230237,"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."}}