{"id":"W6920891416","doi":"10.6084/m9.figshare.22644138","title":"Regional variability and its impact on the decarbonization of emissions-intensive, trade-exposed industries in Canada","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Integrated Energy Systems Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Global warming; Commercialization; Climate change; Carbon capture and storage (timeline); Fossil fuel; Competition (biology); Resource (disambiguation); Greenhouse gas; Hydroelectricity","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005699728,0.00009205371,0.0001037036,0.00006306364,0.00002382499,0.000008543055,0.00006947175,0.00007638177,0.001387079],"category_scores_gemma":[0.001453461,0.00006458958,0.00001379371,0.0005548046,0.000002469732,0.000047629,0.00001127837,0.0001335651,0.000005526368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002386502,"about_ca_system_score_gemma":0.0002800608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01321071,"about_ca_topic_score_gemma":0.01940405,"domain_scores_codex":[0.9994618,0.00004717436,0.0001632423,0.00009152215,0.0001209869,0.0001152462],"domain_scores_gemma":[0.999433,0.0002848034,0.00003358487,0.0001084734,0.0001062967,0.00003379188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007373316,0.000002790044,0.0007074938,0.00006807082,0.00001778705,0.000004510462,0.0001947964,0.7927105,0.0002830152,0.00006867576,0.2058289,0.0001059633],"study_design_scores_gemma":[0.0001821753,0.00001864681,0.06951141,0.001438837,0.000003431323,0.000004158736,0.0004499916,0.9187803,0.008504682,0.00001920494,0.0009268607,0.0001603533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632457,0.0001228981,0.000004439589,0.0006315389,0.0001451971,0.000516955,0.03327952,0.0002080698,0.001845684],"genre_scores_gemma":[0.9921107,0.000004456548,0.000001733274,0.00003385406,0.00001449254,0.00003423803,0.007768337,0.00001475328,0.00001737624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2049021,"threshold_uncertainty_score":0.9995258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0319989405307945,"score_gpt":0.222492414266582,"score_spread":0.1904934737357875,"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."}}