{"id":"W4385757780","doi":"10.3390/world4030032","title":"The Human Ecology of Overshoot: Why a Major ‘Population Correction’ Is Inevitable","year":2023,"lang":"en","type":"article","venue":"World","topic":"Innovation, Sustainability, Human-Machine Systems","field":"Social Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Overpopulation; Overshoot (microwave communication); Population; Population growth; Anthropocene; Natural resource economics; Expansionism; World population; Boom; Economics; Ecology; Natural resource; Neoclassical economics; Engineering; Political science; Sociology; Law; Biology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001946368,0.00007590832,0.000141098,0.000235088,0.001446806,0.00005936453,0.0002071038,0.00005461044,0.0002754155],"category_scores_gemma":[0.0005609813,0.00006527181,0.00005601233,0.001920732,0.0001834049,0.0001285724,0.00005074363,0.000117523,0.00003976029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003116959,"about_ca_system_score_gemma":0.0001044684,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03290193,"about_ca_topic_score_gemma":0.2082734,"domain_scores_codex":[0.9985922,0.0002861538,0.00034033,0.0001728386,0.0003139724,0.0002944988],"domain_scores_gemma":[0.9989351,0.0003150949,0.0001976677,0.000236974,0.0002866449,0.00002849189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000007431479,0.00003257129,0.5435052,0.00003388497,0.00002245557,8.731624e-7,0.01190527,0.00008285505,0.0000471512,0.2485277,0.1949536,0.0008810406],"study_design_scores_gemma":[0.0002533887,0.00003912695,0.5391428,0.00001976182,0.00001565659,3.455938e-7,0.01242971,0.0003017356,0.00005553708,0.03799941,0.4095873,0.0001551924],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8949809,0.00003677093,0.00003122511,0.0108999,0.004024697,0.0009990887,0.00000663205,0.0002834917,0.08873731],"genre_scores_gemma":[0.9256325,0.000001939763,0.000006601736,0.0001821875,0.0003266096,0.00004459923,0.00001744377,0.000009963722,0.07377817],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2146337,"threshold_uncertainty_score":0.9998532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173869686516657,"score_gpt":0.3439698781103643,"score_spread":0.3222311812451978,"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."}}