{"id":"W4413533529","doi":"10.64628/aam.dsakpfjf6","title":"Meta’s Canadian news ban could put people at risk during public emergencies","year":2024,"lang":"en","type":"article","venue":"","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Business; Risk communication; Internet privacy; Political science; Computer security; Public relations; Risk analysis (engineering); Computer science","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":[0.01082175,0.001596616,0.0009597369,0.00313171,0.01251547,0.01326093,0.003170687,0.0237092,0.05471479],"category_scores_gemma":[0.05599053,0.001035507,0.002976437,0.002259661,0.00468856,0.003774755,0.00433134,0.02224456,0.01197394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05517723,"about_ca_system_score_gemma":0.1744096,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9501836,"about_ca_topic_score_gemma":0.9738029,"domain_scores_codex":[0.9866003,0.001098125,0.000369322,0.000594939,0.006820938,0.004516373],"domain_scores_gemma":[0.9595675,0.00756625,0.001254863,0.001364925,0.01848993,0.0117566],"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":[0.00009103514,0.00001930751,0.0008116061,0.00007164045,0.00002614975,0.0001040968,0.0002604369,0.00007957723,0.0001187183,0.01106304,0.9813648,0.005989687],"study_design_scores_gemma":[0.00006131716,0.00002111618,0.002962467,0.0002099944,0.00004509935,0.0000343585,0.0005950444,0.00008569387,0.0001682154,0.001598723,0.9941623,0.0000557459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.002712542,0.003304503,0.0007533397,0.7893289,0.05650213,0.000132976,0.004062733,0.000491914,0.142711],"genre_scores_gemma":[0.03794904,0.003494903,0.001935596,0.5423419,0.01204105,0.0002348555,0.002277168,0.0006204495,0.399105],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05517723,"threshold_uncertainty_score":0.4003407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0492981498095232,"score_gpt":0.2818347162534716,"score_spread":0.2325365664439484,"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."}}