{"id":"W4395017710","doi":"10.2139/ssrn.4803239","title":"Trust in Scientists, Researchers, and Environmental Organizations Associated with Policy Support for Energy Transition","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal Roads University","funders":"","keywords":"Transition (genetics); Energy (signal processing); Energy transition; Environmental policy; Business; Political science; Data science; Environmental economics; Computer science; Economics; Physics; Chemistry; Medicine","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.02005293,0.0001589913,0.0004747081,0.002609043,0.003728824,0.008466681,0.0007761513,0.003825414,0.009762911],"category_scores_gemma":[0.1763715,0.0003197326,0.0002897158,0.002939079,0.005988105,0.005524353,0.006838607,0.004127827,0.0005403633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006726289,"about_ca_system_score_gemma":0.01350326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01355754,"about_ca_topic_score_gemma":0.01444157,"domain_scores_codex":[0.9727088,0.01610425,0.00125469,0.001277942,0.004032267,0.004622131],"domain_scores_gemma":[0.6981256,0.1604145,0.06235441,0.01100765,0.02512202,0.04297581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001153415,0.0005675607,0.5612292,0.000484109,0.0005615768,0.002012043,0.076393,0.001820192,0.001390291,0.2424588,0.03638634,0.07554351],"study_design_scores_gemma":[0.0002722603,0.0005198917,0.4702345,0.0009776541,0.0003476249,0.001211513,0.1570697,0.006859891,0.002169232,0.2185423,0.1415442,0.0002511551],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7335163,0.002243559,0.00619036,0.140528,0.0007034859,0.0000685441,0.0003082335,0.00006511298,0.1163763],"genre_scores_gemma":[0.9975469,0.0002438434,0.0001090618,0.0007284953,0.00008368361,0.00001037393,0.00002355473,0.00001215466,0.001242001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9962712,"threshold_uncertainty_score":0.1060513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225288497184993,"score_gpt":0.2916436229411792,"score_spread":0.2793907379693292,"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."}}