{"id":"W2555459065","doi":"10.1002/ecy.1665","title":"Phenotypic plasticity of nest timing in a post‐glacial landscape: how do reptiles adapt to seasonal time constraints?","year":2016,"lang":"en","type":"article","venue":"Ecology","topic":"Turtle Biology and Conservation","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Laurentian University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Natural Resources and Forestry; University of Toronto; Canadian Water Network; Canadian Wildlife Federation; National Science Foundation","keywords":"Ectotherm; Ecology; Glacial period; Phenotypic plasticity; Biology; Phenology; Population; Local adaptation; Adaptation (eye); Demography; Paleontology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003737051,0.0001251141,0.0002283819,0.0005582852,0.0002793321,0.0004950601,0.0002455808,0.0002708412,0.0007554171],"category_scores_gemma":[0.0008027905,0.000133196,0.0001891241,0.0004504734,0.0004823515,0.0003723437,0.0002713509,0.0002269046,0.0001353213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002334099,"about_ca_system_score_gemma":0.0001001182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00492465,"about_ca_topic_score_gemma":0.01370413,"domain_scores_codex":[0.999879,0.00003459416,0.000006910792,0.00004003532,0.00001468444,0.0000247405],"domain_scores_gemma":[0.9995403,0.00008003775,0.000199696,0.00006597169,0.00005403702,0.00005993395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006703292,0.00002567086,0.9746522,0.00003156811,0.000132913,0.0001084116,0.001390123,0.0003719565,0.01551868,0.00007469233,0.0001275125,0.007499292],"study_design_scores_gemma":[1.641402e-7,0.00001057719,0.9997066,9.061661e-7,0.000002448971,0.00001509829,0.0001057571,0.00007181454,0.00003693052,0.0000133794,0.00003512641,0.000001242658],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994535,0.0001050415,0.0001032216,0.00002362779,0.000001139948,0.000001801598,0.00006839236,0.000004078354,0.0002392924],"genre_scores_gemma":[0.9997532,0.00003159919,0.00005679599,0.00001476192,0.00000257859,0.00000313434,0.00008680778,0.000002106714,0.00004893171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00492465,"threshold_uncertainty_score":0.00979197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008425537422127524,"score_gpt":0.2019536964910201,"score_spread":0.1935281590688926,"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."}}