{"id":"W1487042763","doi":"","title":"Phenotypic divergence of exotic fish populations is shaped by spatial proximity and habitat differences across an invaded landscape","year":2012,"lang":"en","type":"article","venue":"Evolutionary ecology research","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Phenotypic plasticity; Morphometrics; Salmo; Phenotypic trait; Ecology; Brown trout; Habitat; Local adaptation; Population; Allometry; Trout; Adaptation (eye); Evolutionary biology; Zoology; Phenotype; Fish <Actinopterygii>; Fishery","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008404669,0.0001022399,0.000158058,0.00004837225,0.0006972656,0.00001017929,0.0002464121,0.0001851151,0.004795463],"category_scores_gemma":[0.0002415875,0.00009777534,0.00002342909,0.0002661735,0.0009691407,0.0006658066,0.0003798524,0.000266851,0.0001389894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000879566,"about_ca_system_score_gemma":0.00003560652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005616888,"about_ca_topic_score_gemma":0.004937496,"domain_scores_codex":[0.998138,0.0004802558,0.0002243051,0.0003035634,0.0003052792,0.0005486038],"domain_scores_gemma":[0.9992524,0.0002783351,0.00007235111,0.0001923923,0.00004684971,0.0001577206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005274445,0.000316865,0.9872352,0.00000767313,0.000009285412,9.153217e-7,0.0007325973,0.000005149635,0.0004014335,0.0001806174,0.01081559,0.0002418766],"study_design_scores_gemma":[0.0002453468,0.0002104432,0.9930195,0.000002758853,0.000006684319,0.00001004584,0.0002762551,0.00325491,0.00001850583,0.002755198,0.0001017477,0.0000986231],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973726,0.00009214287,0.00006512164,0.001670044,0.0001619336,0.0003217719,0.00006806177,0.00001873012,0.0002295696],"genre_scores_gemma":[0.9987816,0.00002374733,0.0002710136,0.0002129723,0.00005527163,0.00007792311,0.00006716653,0.0000063527,0.0005039271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01071384,"threshold_uncertainty_score":0.9961143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09220931181781991,"score_gpt":0.3274385547286219,"score_spread":0.235229242910802,"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."}}