{"id":"W4315784007","doi":"10.21203/rs.3.rs-2459425/v1","title":"Power in the Pipeline: Gas Centrality Reduces Leader Turnover","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Natural Resources and Economic Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Care Foundation","funders":"Università Bocconi; Università degli Studi di Padova; Université de Lausanne; Monash University","keywords":"Centrality; Pipeline (software); Power (physics); Business; Power to gas; Petroleum engineering; Computer science; Chemistry; Engineering; Physics; Mathematics; Thermodynamics; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001085776,0.0001177083,0.0003450319,0.0003437951,0.0004053658,0.0009788857,0.000429127,0.0005016286,0.01097252],"category_scores_gemma":[0.01249058,0.00008007945,0.000106601,0.0003858145,0.0007459028,0.000862406,0.0006183332,0.0004075885,0.0005217149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004063121,"about_ca_system_score_gemma":0.0003624624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001871002,"about_ca_topic_score_gemma":0.002456659,"domain_scores_codex":[0.9994013,0.0002735145,0.00001275536,0.0001085424,0.0000701816,0.0001336944],"domain_scores_gemma":[0.9878929,0.006730784,0.002823343,0.00057553,0.0004859421,0.001491482],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004713557,0.002978934,0.534794,0.0008389932,0.0004468641,0.00326828,0.005139922,0.06691942,0.04154564,0.1399733,0.02530068,0.1740806],"study_design_scores_gemma":[0.0006139241,0.002815031,0.5770054,0.0001350736,0.0003896404,0.001086956,0.01275018,0.1769478,0.01265677,0.193921,0.02158073,0.00009751308],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9863654,0.00008714959,0.005417954,0.0005481722,0.00002287022,0.000007288064,0.00007908874,0.00004138194,0.007430629],"genre_scores_gemma":[0.99951,0.00001306967,0.0001091104,0.00001499557,0.000006917551,0.000001420941,0.00001231539,0.000002937255,0.0003291616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01097252,"threshold_uncertainty_score":0.03670675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1810509648067828,"score_gpt":0.3638664831779064,"score_spread":0.1828155183711236,"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."}}