{"id":"W4386272999","doi":"10.5281/zenodo.8299692","title":"Density-dependent selection during range expansion affects expansion load in life-history traits","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of British Columbia","funders":"","keywords":"Selection (genetic algorithm); Range (aeronautics); Life history theory; Biology; Evolutionary biology; Life history; Econometrics; Ecology; Mathematics; Computer science; Materials science; Artificial intelligence","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":[0.00058976,0.0002086954,0.0002574697,0.0002915187,0.000216227,0.0004782257,0.0003148789,0.0003769399,0.0008577834],"category_scores_gemma":[0.002349155,0.0001456481,0.0002697264,0.0001967431,0.0005522696,0.0004765061,0.0005190342,0.0002744746,0.00008463491],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003522602,"about_ca_system_score_gemma":0.0001850596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0016356,"about_ca_topic_score_gemma":0.002568554,"domain_scores_codex":[0.9998009,0.0001101026,0.000009190497,0.00003409406,0.0000186653,0.00002711228],"domain_scores_gemma":[0.9990386,0.0006030744,0.0001685087,0.00007048526,0.00003990877,0.00007950456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006302858,0.0002842899,0.3351617,0.0001654593,0.0003773489,0.0008599788,0.0007562254,0.4444025,0.1774544,0.01189705,0.0004142545,0.02759639],"study_design_scores_gemma":[0.00007142648,0.0003482632,0.3269632,0.00001774467,0.0001200812,0.000337648,0.0002941326,0.6574937,0.006449034,0.007400938,0.0004456835,0.00005815378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971424,0.00002667986,0.002152364,0.00002827675,0.000001173054,0.00000269913,0.00001275782,0.00001177876,0.0006219213],"genre_scores_gemma":[0.9994391,0.00001695035,0.0004441809,0.000006355738,8.071279e-7,0.000002445943,0.00001152785,0.000002322495,0.00007623508],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0016356,"threshold_uncertainty_score":0.003252208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03792132124264352,"score_gpt":0.2617896574450628,"score_spread":0.2238683362024193,"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."}}