{"id":"W4413497912","doi":"10.64628/aam.rfegj3d93","title":"Canadian media is far too reliant on U.S. tech. Here’s what the government can do about it","year":2023,"lang":"en","type":"article","venue":"","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Government (linguistics); Business; Political 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":[0.003612826,0.000588721,0.0005398757,0.001921747,0.01711836,0.01716949,0.001055457,0.003789785,0.03045919],"category_scores_gemma":[0.01548448,0.0002790768,0.0004536718,0.003510768,0.008234217,0.00880958,0.002389364,0.005145962,0.005231054],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03528852,"about_ca_system_score_gemma":0.09442749,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9488896,"about_ca_topic_score_gemma":0.9741256,"domain_scores_codex":[0.9949916,0.0005124711,0.00006490445,0.0003136966,0.002916453,0.001200943],"domain_scores_gemma":[0.9808205,0.002683405,0.0004616944,0.0006336751,0.0119121,0.00348856],"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":[0.00006703897,0.00003185114,0.003770579,0.0003560625,0.00004592062,0.0001292438,0.002550079,0.0001402572,0.0007525008,0.1010384,0.8152876,0.0758305],"study_design_scores_gemma":[0.000006843484,0.00001248101,0.004589184,0.0004919977,0.00002812882,0.00004482372,0.006071654,0.0000716356,0.000481969,0.006034999,0.9821017,0.0000646285],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.006021684,0.01828174,0.0009052972,0.7497048,0.006382419,0.00001953831,0.001034768,0.0002689389,0.2173807],"genre_scores_gemma":[0.384114,0.06346714,0.005227942,0.2724469,0.003525525,0.00004721669,0.00128468,0.0006340368,0.2692525],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05111045,"threshold_uncertainty_score":0.2560374,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03262498674170256,"score_gpt":0.2870818034289669,"score_spread":0.2544568166872643,"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."}}