{"id":"W2770067348","doi":"","title":"The Canadian contribution to avoiding dangerous climate changes: An analysis of technological options and energy trade","year":2017,"lang":"en","type":"article","venue":"Les Cahiers du GERAD","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Climate change; Natural resource economics; Economics; Energy (signal processing); International trade; Environmental science; Business; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008292739,0.0001209174,0.0002406099,0.0002729196,0.003549849,0.0002079419,0.0004295032,0.0002682755,0.00001139465],"category_scores_gemma":[0.0009685307,0.00009188872,0.00007640122,0.000355287,0.0008015145,0.00009275669,0.00007694752,0.0002330882,8.074607e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000399043,"about_ca_system_score_gemma":0.00005871522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2397647,"about_ca_topic_score_gemma":0.8770282,"domain_scores_codex":[0.9986256,0.0002270359,0.0001616463,0.0002700518,0.0001848293,0.0005307734],"domain_scores_gemma":[0.9987743,0.0001405974,0.00007117957,0.0006146522,0.000109326,0.0002898759],"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":[0.00003531786,0.0000193952,0.003309128,0.000004079023,0.000150915,0.00001881183,0.0002618984,0.001095679,0.0002765925,0.9524021,0.00000876234,0.0424173],"study_design_scores_gemma":[0.001435897,0.0008430077,0.3184883,0.00003793101,0.0009894728,0.00004195923,0.01108868,0.02689484,0.003999913,0.06935415,0.5656623,0.001163546],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843457,0.0002590801,0.0003569191,0.01246398,0.00004574778,0.00008792863,0.00006400819,0.00004977727,0.002326899],"genre_scores_gemma":[0.9990911,0.0003296187,0.0001319419,0.000170097,0.00002989419,0.00004549548,0.00004186074,0.000007656307,0.0001523381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.883048,"threshold_uncertainty_score":0.9977474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01492939092053234,"score_gpt":0.2678994079645681,"score_spread":0.2529700170440357,"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."}}