{"id":"W3204043101","doi":"10.1101/2021.10.05.463025","title":"A synthesis of senescence predictions for indeterminate growth, and support from multiple tests in wild lake trout","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Animal Behavior and Reproduction","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University; International Institute for Sustainable Development; University of Manitoba; Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Natural Environment Research Council; Royal Society; University of Manitoba","keywords":"Senescence; Biology; Trout; Indeterminate growth; Telomere; Phenotypic plasticity; Ecology; Zoology; Genetics; Fishery","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01810941,0.00134373,0.001377184,0.002263137,0.0007149374,0.003045859,0.002003961,0.001158378,0.007616833],"category_scores_gemma":[0.08790133,0.0005096413,0.002190928,0.001404248,0.001842208,0.002617349,0.001611406,0.001511544,0.0005412207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001398072,"about_ca_system_score_gemma":0.001417933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004804485,"about_ca_topic_score_gemma":0.003686688,"domain_scores_codex":[0.9954822,0.002324005,0.0003420027,0.001232968,0.0004626608,0.0001561171],"domain_scores_gemma":[0.8098362,0.1714492,0.009138036,0.003526963,0.004711764,0.001337992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002803383,0.0002593651,0.7277112,0.001909419,0.004222794,0.00100003,0.001112907,0.131194,0.003810504,0.01516149,0.003615663,0.1071992],"study_design_scores_gemma":[0.0002837417,0.001167385,0.4176778,0.0008806763,0.002353297,0.0004465443,0.001366255,0.493641,0.002212724,0.07622816,0.003514916,0.0002275235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8956432,0.00507859,0.0833441,0.003551463,0.0002501329,0.0001070399,0.004151588,0.0006585486,0.007215259],"genre_scores_gemma":[0.9936479,0.0002251869,0.004653142,0.0001426305,0.00009917268,0.00004172549,0.0009317909,0.00004687249,0.0002117139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01810941,"threshold_uncertainty_score":0.09577286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01782279010848948,"score_gpt":0.2113083181359831,"score_spread":0.1934855280274937,"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."}}