{"id":"W4411121012","doi":"10.1609/icwsm.v19i1.35956","title":"Can-PolNews: A Multi-Platform Dataset of Political Discourse in Canada","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International AAAI Conference on Web and Social Media","topic":"Social Media and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Politics; Political science; Computer science; Linguistics; Law; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000523893,0.001244422,0.0006693121,0.009136845,0.00506515,0.002634108,0.001675486,0.001319419,0.009485283],"category_scores_gemma":[0.004567065,0.0003742385,0.000634637,0.01625699,0.0009925819,0.001281249,0.00185753,0.001271599,0.006612426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02506009,"about_ca_system_score_gemma":0.03509595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9798263,"about_ca_topic_score_gemma":0.9913,"domain_scores_codex":[0.9983839,0.0001206412,0.0000782444,0.000261262,0.0006668952,0.0004891814],"domain_scores_gemma":[0.9964619,0.000459776,0.0002569393,0.0002847989,0.00197405,0.0005625541],"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":[0.0002119017,0.00009765619,0.02905471,0.0005424522,0.00008158733,0.000298401,0.001863454,0.0009770384,0.0008971693,0.003531066,0.9413744,0.02107018],"study_design_scores_gemma":[0.00007625011,0.00001855102,0.1055327,0.0002638799,0.00005878098,0.0001374278,0.004038772,0.003187813,0.001232181,0.0007369276,0.8845896,0.0001271338],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02242812,0.0007243773,0.0002997461,0.0007031976,0.00007408658,0.00009696119,0.9634392,0.0005164454,0.01171786],"genre_scores_gemma":[0.03388888,0.0004462116,0.001587664,0.0001838086,0.00003841778,0.0001728725,0.955551,0.0001238207,0.008007358],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02506009,"threshold_uncertainty_score":0.1818245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04999792360703927,"score_gpt":0.3398626915198871,"score_spread":0.2898647679128479,"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."}}