{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001527766,0.0001538005,0.0001836933,0.0001549563,0.0003000045,0.0002347327,0.0001750548,0.0001924904,0.00006252262],"category_scores_gemma":[0.001233404,0.0001340947,0.00002641974,0.0003192815,0.0002105022,0.0007117666,0.0002460912,0.0003610656,0.000007094326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000581087,"about_ca_system_score_gemma":0.0005230468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1525368,"about_ca_topic_score_gemma":0.3094361,"domain_scores_codex":[0.9986328,0.00004689983,0.0003254681,0.0003614627,0.0002577516,0.0003755983],"domain_scores_gemma":[0.9993457,0.00006792453,0.0001671703,0.0002870645,0.0001014842,0.00003064803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003330306,0.00002712352,0.9864969,0.00008599034,0.000001359022,0.00002465745,0.0002461545,0.000006482312,0.000004775723,0.001115268,0.00005895706,0.01189902],"study_design_scores_gemma":[0.0003120101,0.00000751877,0.978673,0.00001002331,0.000008526515,0.000005254885,0.002045629,0.0004538906,0.00000334121,0.007729555,0.01060281,0.0001484124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971679,0.00006028212,0.000001185013,0.001211931,0.00009393745,0.0004489121,0.000001884353,0.00001506552,0.000998864],"genre_scores_gemma":[0.9982602,0.000005657617,0.000002601564,0.001193868,0.0001475565,0.00001980778,0.00001161683,0.00001039533,0.0003483007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1568993,"threshold_uncertainty_score":0.8531065,"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."}}