{"id":"W1966315970","doi":"10.1371/journal.pone.0072628","title":"Population Size and Cultural Evolution in Nonindustrial Food-Producing Societies","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Language and cultural evolution","field":"Social Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"British Columbia Knowledge Development Fund; Simon Fraser University; Canada Research Chairs; University of Missouri","keywords":"Population; Population size; Subsistence agriculture; Regression analysis; Biology; Species richness; Agriculture; Demography; Ecology; Statistics; Mathematics; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001917468,0.0000571902,0.0001002127,0.00001732808,0.000246088,0.00008148197,0.00004861613,0.0001038081,0.0001733449],"category_scores_gemma":[0.0005114544,0.00004756993,0.00001880343,0.0001593362,0.00006204213,0.0006575327,0.00001800778,0.0001045143,0.00002610948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000179022,"about_ca_system_score_gemma":0.00002163472,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0122258,"about_ca_topic_score_gemma":0.00297968,"domain_scores_codex":[0.9992206,0.00008925144,0.0001160794,0.0001423374,0.0002510745,0.0001806684],"domain_scores_gemma":[0.9997455,0.00003615395,0.00004662346,0.00005168141,0.00007759817,0.00004243175],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000066199,0.001053771,0.6441523,0.000175893,0.0001956627,0.000001969099,0.2038816,0.0000437362,0.1228556,0.01545862,0.004172718,0.007941966],"study_design_scores_gemma":[0.0005943069,0.00008647816,0.9660999,0.000150833,0.00003775272,3.037393e-7,0.02696482,0.0001481547,0.0006399847,0.005016992,0.00004238851,0.0002181152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961699,0.0003210148,0.000001268288,0.001653924,0.00005364629,0.0003098841,0.000001159353,0.00004906553,0.001440159],"genre_scores_gemma":[0.9974049,0.00005174032,0.0002883711,0.00004427843,0.0005394621,0.00002420231,0.000007331614,0.000003390899,0.001636371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3219476,"threshold_uncertainty_score":0.9943519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05121616909231626,"score_gpt":0.2600635170897189,"score_spread":0.2088473479974026,"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."}}