{"id":"W2952682687","doi":"10.3390/su11123275","title":"Pipeline Accidents and Incidents, Environmental Consciousness, and Financial Performance in the Canadian Energy Industry","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Panel data; Context (archaeology); Shareholder; Business; Pipeline (software); Finance; Economics; Engineering; Econometrics; Corporate governance; Geography","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":[0.001105171,0.0002740773,0.0002540312,0.002164607,0.00129513,0.001431093,0.0006834451,0.0002939087,0.002138067],"category_scores_gemma":[0.004493991,0.0001656924,0.0003415693,0.004997514,0.0005753524,0.0006384347,0.001165292,0.000530533,0.0001770618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01397371,"about_ca_system_score_gemma":0.01759082,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9855475,"about_ca_topic_score_gemma":0.9914427,"domain_scores_codex":[0.9989711,0.00008317996,0.00006345838,0.00009703471,0.0004673154,0.0003179468],"domain_scores_gemma":[0.9966048,0.0004278797,0.001165197,0.0001334874,0.001235985,0.0004325714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003063381,0.00003610809,0.9916699,0.00001908725,0.00004156978,0.0000457494,0.0004792411,0.0008672211,0.00007493114,0.0003403779,0.001054041,0.005341164],"study_design_scores_gemma":[9.073389e-7,0.000006919645,0.9973442,0.00001043506,0.000009388933,0.000006481389,0.001024949,0.0005626168,0.00005968001,0.00003450136,0.0009320778,0.000007783321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991877,0.0001757916,0.0001573289,0.00023849,0.00000635507,0.00002091703,0.003788164,0.000008223884,0.003727787],"genre_scores_gemma":[0.99419,0.0002410897,0.0001608754,0.00002611323,0.00000352759,0.00001125187,0.00396557,0.000002016684,0.001399602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01445246,"threshold_uncertainty_score":0.1013868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006124913566813611,"score_gpt":0.2104858647646929,"score_spread":0.2043609511978793,"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."}}