{"id":"W4405944732","doi":"10.1111/ele.14512","title":"The Demographic Basis of Population Growth: A 32‐Year Transient Life Table Response Experiment","year":2024,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut écologie et environnement; Natural Sciences and Engineering Research Council of Canada; Directorate for Biological Sciences; Centre National de la Recherche Scientifique; Université de Strasbourg; Alberta Parks; Fondation Fyssen; National Science Foundation","keywords":"Ecology; Table (database); Population; Population growth; Biology; Environmental science; Geography; Demography; Statistics; Mathematics; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001060665,0.0002315016,0.0003570705,0.0001779081,0.0002758442,0.0003233603,0.0003900597,0.0003952531,0.001948689],"category_scores_gemma":[0.001816661,0.0001444916,0.0001983139,0.0001622151,0.0003860767,0.0002119929,0.0003494797,0.0008858867,0.0001555748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004845657,"about_ca_system_score_gemma":0.0004279609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002559979,"about_ca_topic_score_gemma":0.00354381,"domain_scores_codex":[0.9997157,0.000119184,0.00001442869,0.00005431038,0.0000433739,0.00005295563],"domain_scores_gemma":[0.9980226,0.001027349,0.0002567577,0.0002671595,0.00009239339,0.0003337555],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.03565993,0.03468385,0.1994935,0.0001942454,0.0002420258,0.001009978,0.002605845,0.01832812,0.6474146,0.003761139,0.002027857,0.05457888],"study_design_scores_gemma":[0.003536969,0.105749,0.7264274,0.00003143353,0.0001743024,0.0004768281,0.001435284,0.08405336,0.06572782,0.005072037,0.007068722,0.0002469359],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991068,0.000004913883,0.000327368,0.00002414467,0.000003129475,0.00003942646,0.0001518549,0.00000682261,0.0003355471],"genre_scores_gemma":[0.9971399,0.00001359113,0.0009061709,0.00009797361,0.000005483049,0.0003199678,0.0003342802,0.000007406499,0.001175173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002559979,"threshold_uncertainty_score":0.00651902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01871211232067297,"score_gpt":0.279280062096597,"score_spread":0.260567949775924,"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."}}