{"id":"W4391053647","doi":"10.31219/osf.io/b29q8","title":"The Canadian Information Ecosystem","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Social Media and Politics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Disinformation; Politics; Influencer marketing; Internet privacy; Democracy; Vignette; Political science; Public relations; Social media; Business; Computer science; Marketing; Law; Psychology; Social psychology","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":[0.001581242,0.0006764366,0.000478336,0.005903167,0.01574055,0.0188013,0.001981801,0.001619825,0.08624227],"category_scores_gemma":[0.007544002,0.0005307096,0.0005216549,0.01272893,0.003524897,0.004838535,0.004628503,0.001600531,0.01237965],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09502912,"about_ca_system_score_gemma":0.2108611,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9875993,"about_ca_topic_score_gemma":0.9925724,"domain_scores_codex":[0.9958312,0.0002584541,0.0001385811,0.0004017126,0.002435827,0.0009342898],"domain_scores_gemma":[0.9904061,0.0004649974,0.0002587027,0.0006150318,0.00601472,0.002240492],"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":[0.00003912466,0.00002368377,0.007743348,0.0002951109,0.00002980347,0.0003980314,0.002152313,0.0003686868,0.0003615652,0.1403059,0.7447377,0.1035447],"study_design_scores_gemma":[0.000002466801,0.000002609873,0.003765072,0.0001086168,0.000007590105,0.0000514369,0.001189803,0.0001468685,0.00005761241,0.00190688,0.9927393,0.00002165487],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01224663,0.007445533,0.001611092,0.04524669,0.000890837,0.0001553428,0.02774256,0.0007967539,0.9038645],"genre_scores_gemma":[0.2509957,0.02486065,0.01136508,0.0117898,0.0004557105,0.0001974014,0.03283437,0.0006927231,0.6668087],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9049709,"threshold_uncertainty_score":0.6894877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351840507633553,"score_gpt":0.3109668450211733,"score_spread":0.2874484399448378,"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."}}