{"id":"W1912390956","doi":"10.1111/fwb.12036","title":"Genetic and phenotypic variation among <i>Galaxias maculatus</i> populations reflects contrasting landscape effects between northern and southern Patagonia","year":2012,"lang":"en","type":"article","venue":"Freshwater Biology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Instituto Balseiro, Universidad Nacional de Cuyo","keywords":"Ecology; Population; Biology; Genetic structure; Latitude; Structural basin; Geography; Genetic variation","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":[],"consensus_categories":[],"category_scores_codex":[0.0001062023,0.0001698656,0.0001749964,0.00004867501,0.0001632653,0.00002576378,0.0000740441,0.0002623307,0.0000201289],"category_scores_gemma":[0.00004181153,0.0001490046,0.00003213549,0.00004837698,0.00008584921,0.000007903323,0.0001145692,0.00008639875,0.000009659111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005239993,"about_ca_system_score_gemma":0.000009720669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001458502,"about_ca_topic_score_gemma":0.000726141,"domain_scores_codex":[0.9990605,0.000128267,0.0001670455,0.0002798646,0.00005419827,0.0003102023],"domain_scores_gemma":[0.9995507,0.00002174502,0.00009258849,0.0001666878,0.00004173505,0.0001265497],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001623083,0.000007510518,0.9564713,0.00001729023,0.00005091667,4.26359e-7,0.0004913205,0.00001819806,0.04094851,0.00003686298,0.00003768698,0.001903734],"study_design_scores_gemma":[0.0005436131,0.00009134901,0.9949788,0.000006623977,0.00007566417,0.000009955596,0.00003445405,0.00006544155,0.001529864,0.000438909,0.002033717,0.0001916452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9964299,0.0009744926,0.001916647,0.0000434629,0.0002248796,0.0001899658,0.0001403365,0.00001828841,0.00006198773],"genre_scores_gemma":[0.9965658,0.00001732611,0.002086621,0.00009222945,0.0005401393,0.000007312164,0.0005954314,0.00001704785,0.00007815201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03941864,"threshold_uncertainty_score":0.6076232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01245093676909794,"score_gpt":0.2296803801132622,"score_spread":0.2172294433441642,"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."}}