{"id":"W4415295546","doi":"10.3390/su17209161","title":"Optimal Population and Sustainable Growth Under Environmental Constraints","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Per capita; Population growth; Sustainability; Consumption (sociology); Population; Overshoot (microwave communication); Environmental degradation; Pollution; Sustainable development","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005989233,0.0002740019,0.000222559,0.0001061149,0.0005145951,0.00007302734,0.0001976314,0.0001400365,0.001597189],"category_scores_gemma":[0.0002151902,0.0002802236,0.00006273042,0.0003280934,0.001075615,0.0005066475,0.0008653785,0.0001872106,0.00004324872],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003859438,"about_ca_system_score_gemma":0.00007078302,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001526377,"about_ca_topic_score_gemma":0.00001546421,"domain_scores_codex":[0.9978114,0.0001128263,0.000318675,0.0006262854,0.0002735154,0.0008573433],"domain_scores_gemma":[0.9994275,0.00007185617,0.00006656311,0.0002606319,0.00001539432,0.0001580697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007397633,0.0002119995,0.9599727,0.0001348078,0.00002696747,0.0000329727,0.0004406642,0.00111566,0.0001506207,0.0266981,0.00127295,0.00986862],"study_design_scores_gemma":[0.0005362294,0.00003670317,0.9219769,0.000003848766,0.00002116179,0.000006222173,0.00890258,0.0001621472,0.0001910303,0.06548225,0.002403767,0.0002772246],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986582,0.00005372413,0.0009012137,0.00167603,0.00004230844,0.0007420753,0.000004055289,0.0000756267,0.009922963],"genre_scores_gemma":[0.9871338,0.00001986138,0.0004409619,0.0004965194,0.00001510221,0.00006354164,0.00002423241,0.00001591561,0.01179008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03878415,"threshold_uncertainty_score":0.999965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003371345270860149,"score_gpt":0.2188630548477985,"score_spread":0.2154917095769384,"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."}}