{"id":"W4413726459","doi":"10.64628/aam.7pp9ahqs7","title":"How Ottawa should spend its $50 million to support local news","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Business; Advertising; Political science; History","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":[0.003382791,0.0005456676,0.0004463947,0.002764629,0.01329962,0.01879098,0.001600115,0.006815012,0.07343712],"category_scores_gemma":[0.02062072,0.0007592584,0.0006889593,0.002769532,0.004136012,0.005300588,0.002538841,0.00578423,0.007947094],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09627913,"about_ca_system_score_gemma":0.2170695,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9847358,"about_ca_topic_score_gemma":0.993042,"domain_scores_codex":[0.994208,0.0005657653,0.0001807031,0.0003746003,0.002388504,0.002282453],"domain_scores_gemma":[0.9816958,0.001766859,0.0004886927,0.000588615,0.008159875,0.007300256],"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":[0.00009631257,0.00004476214,0.004731389,0.0001696574,0.00006411116,0.0001326233,0.001745818,0.0003655681,0.0002501641,0.08385517,0.8914895,0.01705485],"study_design_scores_gemma":[0.00004392105,0.00002003561,0.01577906,0.0002591182,0.00008090283,0.00003927068,0.005620943,0.0003881285,0.0003665456,0.00754557,0.9697422,0.0001142786],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.02418535,0.003600043,0.0006596894,0.4903343,0.006177668,0.0001952738,0.006426075,0.0004051311,0.4680165],"genre_scores_gemma":[0.2670493,0.003819848,0.002655107,0.06244218,0.001185626,0.0001592979,0.002260427,0.000420708,0.6600076],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09627913,"threshold_uncertainty_score":0.6985573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09750830183484208,"score_gpt":0.3558970887669673,"score_spread":0.2583887869321252,"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."}}