{"id":"W4246539726","doi":"10.32920/ryerson.14638782","title":"Local news poverty in Canadian communities: presentation to the House of Commons Heritage Committee","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Technology and Security Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Roads University; Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada; University of British Columbia; Mitacs","keywords":"Commission; Knight; Scrutiny; Political science; Democracy; Public administration; Commons; Local community; Journalism; CONTEST; Public relations; Politics; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004453304,0.0001785675,0.0003576317,0.0002802823,0.0001236937,0.0001560817,0.003047402,0.0003655003,0.00002230543],"category_scores_gemma":[0.00004173965,0.0001463698,0.00008278072,0.0004117026,0.000111457,0.0001266272,0.001961454,0.000934068,0.00001307248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001895935,"about_ca_system_score_gemma":0.0005490509,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9646887,"about_ca_topic_score_gemma":0.9985689,"domain_scores_codex":[0.9983127,0.0004988588,0.0004046183,0.0002485975,0.0002034236,0.0003318064],"domain_scores_gemma":[0.9973367,0.0002272265,0.0001027756,0.002115535,0.00009100989,0.0001266881],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003053887,0.0007148461,0.2490777,0.0007894968,0.000365187,0.0003491601,0.3096409,0.02217036,0.00004148142,0.2338366,0.1562296,0.02675412],"study_design_scores_gemma":[0.002301974,0.0004731186,0.1474499,0.002170178,0.00006312841,0.0001717698,0.2454993,0.4565489,0.0024369,0.01821331,0.1216979,0.002973657],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4342423,0.0007889901,0.4505087,0.09533161,0.002437087,0.002820667,0.0001422873,0.0007850003,0.01294339],"genre_scores_gemma":[0.9955009,0.00001554518,0.002148202,0.002110071,0.00001306949,0.00006894214,0.00001889981,0.00001231435,0.00011208],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5612586,"threshold_uncertainty_score":0.5968787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405221725764991,"score_gpt":0.2522009488727487,"score_spread":0.2281487316150988,"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."}}