{"id":"W7037716844","doi":"","title":"Ford warns that Ottawa´s carbon pricing plan could cause a recession\\n(The Star Travel)","year":2019,"lang":"en","type":"other","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Plan (archaeology); Star (game theory); Carbon fibers; Boom","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001036056,0.0004553617,0.000258839,0.0005162203,0.003733006,0.003343447,0.0005323034,0.005449771,0.1712916],"category_scores_gemma":[0.00287462,0.0002886323,0.0004768725,0.0003802826,0.0005907177,0.001619203,0.001230586,0.0040092,0.0408739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003394197,"about_ca_system_score_gemma":0.01086173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1833067,"about_ca_topic_score_gemma":0.4249882,"domain_scores_codex":[0.9995294,0.00005178412,0.0000120812,0.00004538193,0.0002065073,0.0001550089],"domain_scores_gemma":[0.9989618,0.0001618376,0.00003018383,0.0000428144,0.0004548534,0.0003485561],"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":[0.000005683632,0.000008912187,0.0001425432,0.000004738447,7.100832e-7,0.00000971536,0.00001035582,0.00002186969,0.00001304495,0.00174412,0.9894351,0.008603134],"study_design_scores_gemma":[0.000004046087,0.000007979137,0.0003929805,0.00001928503,0.000001325251,0.00000781816,0.00006070257,0.00009114986,0.00003339595,0.0005754454,0.9988016,0.000004156837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.003045782,0.00194532,0.0009706827,0.2195487,0.02606994,0.00009919497,0.00289692,0.0005278985,0.7448956],"genre_scores_gemma":[0.003997989,0.0004622558,0.0003180017,0.01542934,0.000499853,0.0000272947,0.000400793,0.00007878079,0.9787858],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.8166933,"threshold_uncertainty_score":0.5730274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1699948132330839,"score_gpt":0.3649907473541227,"score_spread":0.1949959341210388,"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."}}