{"id":"W2951994518","doi":"10.1002/1438-390x.12008","title":"Do intraspecific life history patterns follow interspecific predictions? A test using latitudinal variation in ringed seals","year":2019,"lang":"en","type":"article","venue":"Population Ecology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; University of Manitoba; York University; Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Fisheries and Oceans Canada; Environment and Climate Change Canada; W. Garfield Weston Foundation","keywords":"Biology; Intraspecific competition; Interspecific competition; Fecundity; Life history theory; Ecology; Mating; Arctic; Competition (biology); Zoology; Life history; Demography; Population","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003032851,0.0001367524,0.0002300766,0.0001008662,0.00007106059,0.00001384044,0.0001304519,0.00009308267,0.0121277],"category_scores_gemma":[0.0001787277,0.0001500678,0.00004693949,0.0001874141,0.00003301585,0.0002644805,0.0001925092,0.0001560369,0.0004792188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002411902,"about_ca_system_score_gemma":0.00001485266,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003745737,"about_ca_topic_score_gemma":0.02309015,"domain_scores_codex":[0.9986697,0.000105979,0.0003955096,0.0003918101,0.0001805912,0.0002564492],"domain_scores_gemma":[0.9994036,0.0001263108,0.0001938804,0.000202862,0.00001261984,0.00006075474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001517091,0.0001039683,0.9946506,0.00001298795,0.000009650828,0.000002425342,0.0004489605,0.003683481,0.0001501543,0.0001605896,0.0003982589,0.0003637753],"study_design_scores_gemma":[0.0004221757,0.00009773755,0.9867181,0.00001338207,0.00001288544,0.000002905425,0.00008987362,0.01104447,9.930907e-7,0.0001295832,0.001332811,0.0001350495],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944976,0.00004867469,0.0003327956,0.0001623918,0.000714873,0.0004111129,0.000004787118,0.00004240178,0.003785374],"genre_scores_gemma":[0.9990174,0.0000338682,0.0004349244,0.0001929893,0.00008353332,0.00002717439,0.0000139309,0.0000150262,0.0001812119],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01934442,"threshold_uncertainty_score":0.9947359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0428272556726539,"score_gpt":0.2495380095731311,"score_spread":0.2067107539004772,"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."}}