{"id":"W3112260854","doi":"10.3389/fcomm.2020.586711","title":"A Bridge to Where? Tracing the Bridge Fuel Metaphor in the Canadian Media Sphere","year":2020,"lang":"en","type":"article","venue":"Frontiers in Communication","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Social Sciences and Humanities Research Council of Canada; Ryerson University","keywords":"Bridge (graph theory); Boom; Greenhouse gas; Natural gas; Political science; Fossil fuel; Climate change mitigation; Engineering; Natural resource economics; Waste management; Environmental engineering; Economics; Geology","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":[0.0004957206,0.0001232004,0.0001311845,0.000006815236,0.0001912473,0.00005028278,0.001245414,0.00006506932,0.000136299],"category_scores_gemma":[0.00005653139,0.00009012793,0.00003862932,0.0004988182,0.0001943453,0.000152229,0.0002070719,0.0003686751,0.00008621004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005878973,"about_ca_system_score_gemma":0.00002129986,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1556876,"about_ca_topic_score_gemma":0.6524573,"domain_scores_codex":[0.9988111,0.000254516,0.0002190187,0.0002031924,0.0002418673,0.0002703528],"domain_scores_gemma":[0.9991022,0.00006602126,0.00005261137,0.0006475854,0.000001775279,0.0001297977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003517035,0.00007206429,0.7713422,0.000009614451,0.00001477971,0.0000111789,0.06217079,0.05788677,0.00003735673,0.0001198945,0.04666643,0.06163381],"study_design_scores_gemma":[0.0001824379,0.00001750853,0.9315676,0.00001193112,0.000009721864,0.000002271152,0.004224854,0.02256404,0.000002372522,0.0004377508,0.04083926,0.0001402254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8861971,0.002497484,0.0160003,0.07545897,0.0002416969,0.001318219,0.00001351456,0.00003724586,0.01823541],"genre_scores_gemma":[0.9762203,0.0003646012,0.01860159,0.004673718,0.00001621026,0.00005316726,0.00001074549,0.00001461939,0.00004510978],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4967697,"threshold_uncertainty_score":0.8499348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01929852536822559,"score_gpt":0.2184141976996354,"score_spread":0.1991156723314098,"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."}}