{"id":"W4413899267","doi":"10.20944/preprints202509.0084.v1","title":"Optimal Population and Sustainable Growth Under Environmental Constraints","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Population growth; Population; Sustainable development; Natural resource economics; Economics; Environmental science; Biology; Ecology; Sociology; Demography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007066319,0.0005022508,0.0006426423,0.000470707,0.0004163315,0.001459286,0.0007317927,0.001034677,0.002945123],"category_scores_gemma":[0.002608221,0.0003217018,0.0005704853,0.0005683242,0.001200934,0.001944203,0.001201548,0.0007609037,0.0002938865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002293589,"about_ca_system_score_gemma":0.001789923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009209771,"about_ca_topic_score_gemma":0.00469037,"domain_scores_codex":[0.9996395,0.0001393618,0.000008589873,0.00006897475,0.00004159921,0.0001019282],"domain_scores_gemma":[0.999542,0.0002344051,0.00007521545,0.00002741729,0.00006234712,0.0000587076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002493498,0.00001621704,0.0009265179,0.00002197883,0.00001545377,0.00006061312,0.00004738127,0.8403207,0.0004076217,0.15442,0.0007605052,0.00297809],"study_design_scores_gemma":[0.00001949385,0.00002001369,0.0005253394,0.00001712525,0.00000911276,0.00003635661,0.00008689757,0.7919151,0.0001654587,0.2047885,0.002403071,0.00001355329],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.460135,0.00131992,0.4437838,0.007487779,0.0001363393,0.00006322807,0.0008430852,0.0001819468,0.08604895],"genre_scores_gemma":[0.979269,0.0006927761,0.01063444,0.0002312644,0.00002774359,0.00007570552,0.0001776639,0.00005132271,0.008839973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009209771,"threshold_uncertainty_score":0.01831234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03003021479414823,"score_gpt":0.2762996483382704,"score_spread":0.2462694335441221,"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."}}