{"id":"W6884999199","doi":"10.13140/rg.2.2.17844.83849","title":"Opportunities for Decarbonisation of Canadian Heavy Industry","year":2022,"lang":"en","type":"article","venue":"","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Heavy industry; Government (linguistics); Production (economics); Work (physics); Electric power industry","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":[0.001329397,0.0003812746,0.0003595899,0.001589671,0.002917909,0.00530389,0.000939302,0.001367543,0.009677598],"category_scores_gemma":[0.003792499,0.0001258239,0.0005626829,0.002415982,0.001439416,0.001600896,0.001521957,0.001610739,0.00028274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05851266,"about_ca_system_score_gemma":0.08331336,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.968529,"about_ca_topic_score_gemma":0.9834578,"domain_scores_codex":[0.9986185,0.00006621407,0.00002253225,0.00009079213,0.0003694509,0.0008325725],"domain_scores_gemma":[0.997276,0.0002176129,0.0002059724,0.0001112429,0.001512881,0.0006762398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0008516303,0.0001809285,0.1203385,0.0004769106,0.0001338268,0.001280417,0.003059325,0.02965332,0.004334325,0.5692698,0.1029824,0.1674387],"study_design_scores_gemma":[0.00008528973,0.00009622407,0.4185747,0.0004886643,0.0001011464,0.0001600218,0.01159781,0.01903033,0.002731429,0.07518952,0.471774,0.0001708759],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.667771,0.006586827,0.001902848,0.08222438,0.0006319203,0.00007973375,0.003290605,0.0001824287,0.2373302],"genre_scores_gemma":[0.9747302,0.002445867,0.0007862031,0.00203337,0.000127981,0.000007948321,0.0006472326,0.00001974167,0.01920153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05851266,"threshold_uncertainty_score":0.4245411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1988544660430403,"score_gpt":0.2345757611851798,"score_spread":0.03572129514213951,"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."}}