{"id":"W4397017046","doi":"10.33423/jabe.v26i2.6975","title":"Final Step to Green En Masse Financially","year":2024,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Electricity; Government (linguistics); Electric vehicle; Business; Tax credit; Range (aeronautics); Finance; Commerce; Economics; Public economics; Engineering; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.004613481,0.0006911107,0.0005429902,0.001032484,0.004800734,0.01013201,0.001561395,0.005340887,0.07700173],"category_scores_gemma":[0.01345337,0.0002756602,0.0006208789,0.0007061632,0.003922214,0.01296181,0.007838652,0.01065238,0.01999004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002380578,"about_ca_system_score_gemma":0.008766748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003459331,"about_ca_topic_score_gemma":0.006671734,"domain_scores_codex":[0.9969531,0.0005590668,0.00007182098,0.000275913,0.001336998,0.0008030687],"domain_scores_gemma":[0.9934777,0.0007944906,0.0002450808,0.0008968613,0.001914178,0.002671669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000767921,0.0004299307,0.002325063,0.0001033972,0.00003558273,0.0003163733,0.0008356498,0.0002889164,0.001059759,0.2967991,0.6092963,0.08843312],"study_design_scores_gemma":[0.00001404989,0.00006233622,0.002299823,0.0001756347,0.000007872213,0.0001009151,0.002253089,0.0002216662,0.000674539,0.05742095,0.936742,0.00002706227],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03076559,0.002247168,0.009263651,0.5106671,0.01278509,0.0002468875,0.0008432474,0.001172339,0.4320089],"genre_scores_gemma":[0.2653415,0.002823407,0.02856701,0.2819926,0.003451504,0.0003331793,0.001337262,0.001112331,0.4150413],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07700173,"threshold_uncertainty_score":0.2575964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01026558840431077,"score_gpt":0.2021998146952586,"score_spread":0.1919342262909479,"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."}}