{"id":"W7084083739","doi":"10.64628/aam.xarcdutug","title":"Using language to make the world of fossil fuels strange and ugly","year":2019,"lang":"en","type":"article","venue":"","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Fossil fuel; Government (linguistics); Work (physics); Production (economics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.003367675,0.0004598995,0.0003486879,0.001376011,0.002344537,0.008712014,0.0009148586,0.002070918,0.01159741],"category_scores_gemma":[0.02025912,0.0002275657,0.000340687,0.001651084,0.01079231,0.01574585,0.003651383,0.005138363,0.001807649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001418182,"about_ca_system_score_gemma":0.001557495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005217304,"about_ca_topic_score_gemma":0.005810369,"domain_scores_codex":[0.9971972,0.00197804,0.00009928963,0.0001861762,0.0003579965,0.0001813536],"domain_scores_gemma":[0.9928983,0.004458046,0.000694377,0.0009143287,0.000722593,0.000312203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005572244,0.00002261627,0.0009632485,0.0000743939,0.00001140378,0.0001548055,0.007090289,0.000355388,0.0003819795,0.9449385,0.0301541,0.01579754],"study_design_scores_gemma":[0.00002119275,0.0000225742,0.0008207409,0.0002944267,0.00001719527,0.0001859371,0.00639777,0.001455004,0.0006515073,0.7531576,0.2369221,0.00005398902],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.09291747,0.008615931,0.1045073,0.4513823,0.009040793,0.00004887504,0.00113853,0.0007212885,0.3316275],"genre_scores_gemma":[0.8996193,0.00421676,0.0235988,0.0284422,0.002821492,0.00009506485,0.0003781792,0.0006368887,0.04019129],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01159741,"threshold_uncertainty_score":0.03879714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03960959969407458,"score_gpt":0.2578045404943575,"score_spread":0.218194940800283,"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."}}