{"id":"W1546403125","doi":"10.1111/j.1525-142x.2010.00410.x","title":"Morphological variation over ontogeny and environments in resource polymorphic arctic charr (<i>Salvelinus alpinus</i>)","year":2010,"lang":"en","type":"article","venue":"Evolution & Development","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biology; Ontogeny; Salvelinus; Natural selection; Divergence (linguistics); Variation (astronomy); Arctic; Phenotypic plasticity; Selection (genetic algorithm); Ecology; Population; Evolutionary biology; Adaptation (eye); Zoology; Fish <Actinopterygii>; Fishery; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004689234,0.0001637916,0.000143537,0.00006843374,0.000236619,0.0000133577,0.0001369914,0.0001274091,0.001441203],"category_scores_gemma":[0.00006474954,0.0001575332,0.00001987345,0.0001360152,0.00018725,0.0001547897,0.0003911422,0.0002344841,0.0004725315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003533315,"about_ca_system_score_gemma":0.00001159554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001694819,"about_ca_topic_score_gemma":0.002073588,"domain_scores_codex":[0.998673,0.00005515978,0.0002745893,0.0004303291,0.0002490974,0.0003178113],"domain_scores_gemma":[0.9996387,0.00003420118,0.00008654295,0.0001631469,0.000002252054,0.00007518303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003099029,0.0001961178,0.9866652,0.000005733945,0.00002394334,0.00002336498,0.0006462514,0.0000728649,0.007548945,0.000773362,0.003144979,0.0008682581],"study_design_scores_gemma":[0.0005106298,0.00002450055,0.9690273,0.000005603137,0.000008855827,0.00001058685,0.00003955572,0.0001302924,0.00009983839,0.0006031505,0.02935587,0.0001838051],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948215,0.000027866,0.0007919929,0.0009124445,0.0001981558,0.0002978744,0.000001276822,0.00003212691,0.002916705],"genre_scores_gemma":[0.9949964,0.00002107255,0.002590393,0.00102315,0.0000270439,0.0000857132,0.00001060147,0.000009010224,0.001236616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02621089,"threshold_uncertainty_score":0.9994716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005635745450916288,"score_gpt":0.1895853114830961,"score_spread":0.1839495660321798,"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."}}