{"id":"W2970337465","doi":"","title":"Morphological differentiation among isolated populationsof dwarf snakehead fish, Channa gachua (Hamilton, 1822)using truss network analysis","year":2017,"lang":"en","type":"article","venue":"Acta Biologica Szegediensis","topic":"Fish Biology and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Biology; Univariate; Multivariate statistics; Statistics; Peduncle (anatomy); Linear discriminant analysis; Multivariate analysis; Veterinary medicine; Morphometrics; Analysis of covariance; Mathematics; Zoology; Ecology; Anatomy","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006173318,0.0004558033,0.0008948444,0.00006072993,0.003756901,0.0001533557,0.0008130537,0.0008656314,0.000728255],"category_scores_gemma":[0.0005627787,0.0001844255,0.0004877629,0.0006347515,0.0008109524,0.0002864899,0.0004334292,0.00040499,0.00002883893],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000635851,"about_ca_system_score_gemma":0.000005530045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006064447,"about_ca_topic_score_gemma":0.008254428,"domain_scores_codex":[0.9968672,0.0003966194,0.0006073241,0.0009758915,0.0001706687,0.0009822662],"domain_scores_gemma":[0.9981071,0.0004203165,0.0007324538,0.0003731497,0.0001955576,0.0001714503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001078422,0.0001290266,0.984548,0.000002369926,0.0006466275,0.00002201996,0.0000737525,0.00007177762,0.01079947,0.0000399381,0.002169002,0.001390216],"study_design_scores_gemma":[0.0001929596,0.0004107398,0.9942987,0.000009317514,0.0004830537,0.00001132161,0.000122204,0.002081288,0.0001386989,0.0004528081,0.001357214,0.0004417152],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949803,0.0001166116,0.00002347187,0.003072001,0.0006127348,0.0003470555,0.0001271273,0.0002146275,0.0005060186],"genre_scores_gemma":[0.9971849,0.0002933668,0.0001444249,0.0008655334,0.0005802677,0.00004308451,0.0007204339,0.000002722514,0.000165288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01066078,"threshold_uncertainty_score":0.9975401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03969361021642598,"score_gpt":0.2497846133333055,"score_spread":0.2100910031168795,"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."}}