{"id":"W4416590795","doi":"10.1007/s10961-025-10295-7","title":"Nurturing the sustainable and circular economy: an integrated ecosystems model","year":2025,"lang":"en","type":"article","venue":"The Journal of Technology Transfer","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Nature versus nurture; Context (archaeology); Ecosystem; Asset (computer security); Sustainability; Conceptual framework","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001608039,0.0001723585,0.0002523253,0.0008463495,0.0003711575,0.0001976352,0.0008603273,0.0001162003,0.0000203983],"category_scores_gemma":[0.0000653828,0.00009824907,0.00006787619,0.0007645459,0.0001805859,0.0007948895,0.0001452367,0.0004592029,0.000003214337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001021104,"about_ca_system_score_gemma":0.000071385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001308802,"about_ca_topic_score_gemma":0.000042451,"domain_scores_codex":[0.9989957,0.00003068039,0.0003863224,0.0001378289,0.0001065909,0.0003429223],"domain_scores_gemma":[0.9991087,0.00004399077,0.00009963115,0.0003806173,0.0003583876,0.00000869939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004486037,0.0002241068,0.005402284,0.001409715,0.000869265,0.0002391499,0.0006974594,0.03916008,0.0007805394,0.928423,0.005557342,0.01678838],"study_design_scores_gemma":[0.002043569,0.00007503176,0.0004009441,0.0001944787,0.0008831377,0.0001163452,0.0720681,0.1734311,0.0005643838,0.322936,0.4268998,0.0003870645],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8734819,0.001775278,0.07397033,0.04357918,0.0001872016,0.0006653254,4.700851e-7,0.0001383755,0.006201989],"genre_scores_gemma":[0.9976071,0.00008844845,0.00005242088,0.001355907,0.00009828821,0.00001435924,8.271563e-7,0.00001826294,0.0007643871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6054871,"threshold_uncertainty_score":0.4006481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006412331369290411,"score_gpt":0.2012386664937338,"score_spread":0.1948263351244434,"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."}}