{"id":"W3009878375","doi":"","title":"Corporate Risk and Climate Impacts to Critical Energy Infrastructure in Canada","year":2019,"lang":"en","type":"article","venue":"eYLS (Yale Law School)","topic":"Climate Change and Sustainable Development","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Business; Environmental law; International law; Critical infrastructure; Natural resource economics; Environmental planning; Political science; Economics; Environmental science; Law; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001850837,0.0001684725,0.0001991251,0.00003146676,0.00009904778,0.00005861628,0.000152382,0.00005815928,0.003232045],"category_scores_gemma":[0.0000926739,0.0001548025,0.00001636259,0.0002330862,0.00004995237,0.0001955383,0.0003240465,0.0001691551,0.0002156988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019431,"about_ca_system_score_gemma":0.0001377162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.83961,"about_ca_topic_score_gemma":0.9631777,"domain_scores_codex":[0.9984957,0.00005260005,0.0002150138,0.0003601303,0.0002701526,0.0006064113],"domain_scores_gemma":[0.9991997,0.00006393136,0.00007038735,0.0002271943,0.00001162649,0.0004271359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003749705,0.00001198899,0.9908307,0.0000299877,0.000003527159,0.0001219629,0.0001918566,0.0007365855,0.00061332,0.001859872,0.003707639,0.001855129],"study_design_scores_gemma":[0.0004559383,0.00006289891,0.9420491,0.00003999256,0.000006082072,0.0000159615,0.001057045,0.0003512166,0.000598636,0.002136275,0.05285511,0.0003717729],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942392,0.00007770004,0.000007248713,0.0003809352,0.000179617,0.0001493366,0.00004910984,0.00001356647,0.004903306],"genre_scores_gemma":[0.9962988,0.0001678438,0.0003542016,0.002915262,0.00002230684,0.00001572503,0.00001230336,0.00001573882,0.0001977986],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1235677,"threshold_uncertainty_score":0.9976791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007187793372749141,"score_gpt":0.207851020540119,"score_spread":0.2006632271673698,"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."}}