{"id":"W4410871890","doi":"10.5267/j.jpm.2025.3.004","title":"Green growth pathway through green innovation and human capital under low and high regime: From the perspective of energy intensity","year":2025,"lang":"en","type":"article","venue":"Journal of Project Management","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Perspective (graphical); Human capital; Green growth; Intensity (physics); Economics; Natural resource economics; Business; Economic growth; Physics; Sustainable development; Biology; Computer science; Ecology; Optics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004736923,0.0001427354,0.0003757922,0.0003281636,0.00009183056,0.00004279897,0.0002090221,0.00005977749,0.00001919586],"category_scores_gemma":[0.00002327794,0.0001261624,0.00006030982,0.0002571858,0.0001372674,0.0002886284,0.0002382617,0.0001413046,0.000001415058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002341538,"about_ca_system_score_gemma":0.00001473531,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01087911,"about_ca_topic_score_gemma":0.0002409245,"domain_scores_codex":[0.9988124,0.00002798722,0.0006987888,0.0002743157,0.00005193005,0.0001345281],"domain_scores_gemma":[0.9987714,0.0000440735,0.0008754361,0.0002216822,0.00007036973,0.00001704322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003577631,0.00007180456,0.02147423,0.0000355639,0.0004751417,0.000005536927,0.0006946168,0.00001560811,0.0000389175,0.9762493,0.0005780839,0.0003254258],"study_design_scores_gemma":[0.001085325,0.0001412473,0.2877362,0.00006948221,0.00004697118,0.00000412297,0.002509575,0.00004890915,0.0003676054,0.7055987,0.002243589,0.0001483183],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9771114,0.001124411,0.00579509,0.003751983,0.0002028514,0.000180174,0.00003496066,0.00000628068,0.01179284],"genre_scores_gemma":[0.9967544,0.0005546599,0.0007316003,0.0006352536,0.00008924065,0.000005824863,0.000005412624,0.0000126788,0.001210914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2706507,"threshold_uncertainty_score":0.9957075,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02096450383744406,"score_gpt":0.22135342812478,"score_spread":0.2003889242873359,"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."}}