{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006732657,0.0002073953,0.0002246135,0.0008060041,0.0003346504,0.001656659,0.0002369265,0.0004309022,0.003417555],"category_scores_gemma":[0.002051282,0.00006429158,0.0004963067,0.001014916,0.0008184072,0.001282435,0.001210563,0.000599745,0.0002239696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001108115,"about_ca_system_score_gemma":0.00114727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005879586,"about_ca_topic_score_gemma":0.006090136,"domain_scores_codex":[0.9995234,0.00009112809,0.00002156296,0.00009456205,0.00008032735,0.0001889976],"domain_scores_gemma":[0.9983271,0.0005967704,0.0005328347,0.00009510688,0.0002113019,0.0002370326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002666938,0.0002017088,0.9090379,0.0002214726,0.000259394,0.0008909671,0.001499594,0.01459266,0.003081975,0.03690017,0.001584768,0.03146274],"study_design_scores_gemma":[0.00001257214,0.0001514112,0.9629397,0.00008794655,0.0001366831,0.0001216031,0.00416735,0.01169471,0.001843212,0.01322414,0.005590898,0.00002974718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9846043,0.0004147829,0.001762606,0.0009176658,0.00001401107,0.00001771318,0.0003315826,0.00001823034,0.01191927],"genre_scores_gemma":[0.999176,0.0001073484,0.0001319083,0.00002785422,0.000005510366,0.000005151964,0.0000831388,0.000001807516,0.0004613366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005879586,"threshold_uncertainty_score":0.01169074,"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."}}