{"id":"W4366700398","doi":"10.21272/sec.7(1).139-148.2023","title":"Systematic literature review of сarbon-neutral economy concept","year":2023,"lang":"en","type":"article","venue":"SocioEconomic Challenges","topic":"Economic and Business Development Strategies","field":"Economics, Econometrics and Finance","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Education and Science of Ukraine; European Commission","keywords":"Scopus; Low-carbon economy; Microsoft excel; Scientific literature; Process (computing); Subject (documents); Carbon fibers; Economy; Environmental economics; Computer science; Economics; Political science; Library science; Greenhouse gas; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01453033,0.001314843,0.003934723,0.04856547,0.000885224,0.00379645,0.001767897,0.001750654,0.005093667],"category_scores_gemma":[0.05782153,0.0008591985,0.003653937,0.04041852,0.001708711,0.004741033,0.002443138,0.001095553,0.000393455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004847558,"about_ca_system_score_gemma":0.02111056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004489173,"about_ca_topic_score_gemma":0.01059271,"domain_scores_codex":[0.9857907,0.005310046,0.004246013,0.001170394,0.003090313,0.000392436],"domain_scores_gemma":[0.94059,0.04228852,0.009083506,0.001080636,0.0063834,0.000573918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002026767,0.00004648059,0.003270854,0.7735504,0.004004356,0.0004461861,0.00130937,0.0002523453,0.0003170648,0.005094403,0.004845983,0.2066598],"study_design_scores_gemma":[0.0001046745,0.000198524,0.01047079,0.882898,0.01283,0.001426846,0.002848004,0.0002247558,0.000327474,0.00335508,0.0852541,0.00006190707],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002070464,0.9954019,0.0003263329,0.0006200713,0.0002224587,0.0001765316,0.0003036454,0.000006655509,0.0008718538],"genre_scores_gemma":[0.02944523,0.9671187,0.001438735,0.0007432607,0.0002067608,0.0004323566,0.0004374372,0.000006392431,0.0001711389],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.04856547,"threshold_uncertainty_score":0.07684463,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03895084966801548,"score_gpt":0.2407152839646241,"score_spread":0.2017644342966086,"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."}}