{"id":"W4366204533","doi":"10.1101/2023.04.17.537142","title":"Ontogeny shapes individual specialization","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; Environment and Climate Change Canada; Western University","funders":"Naturvårdsverket; Norges Forskningsråd; Austrian Science Fund; European Commission; Robert Bosch Stiftung; Miljødirektoratet; National Research Centre","keywords":"Biology; Trophic level; Heritability; Environmental change; Ecology; Ontogeny; Offspring; Zoology; Evolutionary biology; Climate change; Genetics","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":[0.0003193747,0.0001719091,0.0002755026,0.0007139726,0.0002358181,0.0006742891,0.0001588615,0.0003064154,0.005174543],"category_scores_gemma":[0.001018753,0.0001938291,0.0002578928,0.0004310916,0.0003357948,0.0003573494,0.0006338874,0.000336183,0.0005612746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000173131,"about_ca_system_score_gemma":0.0001540718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001113274,"about_ca_topic_score_gemma":0.002342665,"domain_scores_codex":[0.9997936,0.00004307709,0.000007993507,0.00009329183,0.00002639329,0.00003577617],"domain_scores_gemma":[0.9993166,0.0002137622,0.0002016671,0.00009862584,0.0000582014,0.0001111315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001943747,0.00005581359,0.8863974,0.00007437112,0.0001965945,0.0003493913,0.0007187165,0.001063315,0.0847597,0.0009993899,0.0008615662,0.0243293],"study_design_scores_gemma":[8.261812e-7,0.00001163537,0.9985448,0.000004405239,0.000006026021,0.00008076333,0.0000767983,0.000361805,0.0003764673,0.000195738,0.0003384154,0.000002404092],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977463,0.0001975831,0.0005615863,0.000037719,0.000003897024,0.000002296196,0.0004518812,0.00001498119,0.0009836189],"genre_scores_gemma":[0.9985746,0.0001238533,0.0003444436,0.00001811948,0.000006186565,0.000006979697,0.0004409999,0.00001740118,0.0004675181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005174543,"threshold_uncertainty_score":0.01731056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0256166381740579,"score_gpt":0.2202446664825072,"score_spread":0.1946280283084493,"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."}}