{"id":"W1539071251","doi":"10.1023/a:1025895317253","title":"Getting into Shape: An Empirical Comparison of Traditional Truss-Based Morphometric Methods with a Newer Geometric Method Applied to New World Cichlids","year":2003,"lang":"en","type":"article","venue":"Environmental Biology of Fishes","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":139,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Universität Konstanz","keywords":"Morphometrics; Shape analysis (program analysis); Variation (astronomy); Truss; Set (abstract data type); Trait; Mathematics; Artificial intelligence; Geometric data analysis; Statistics; Computer science; Biology; Ecology; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.00814265,0.0004686894,0.0003895134,0.002940451,0.0005255485,0.0007463692,0.000851519,0.0005607869,0.001269316],"category_scores_gemma":[0.04690456,0.0002082759,0.0004857192,0.002435616,0.001431609,0.001696746,0.001068935,0.0005041881,0.0003093946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000582509,"about_ca_system_score_gemma":0.0003305959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003403148,"about_ca_topic_score_gemma":0.006781236,"domain_scores_codex":[0.9976629,0.0009427497,0.000176578,0.0004017947,0.000766491,0.00004938855],"domain_scores_gemma":[0.9401655,0.04464509,0.00409547,0.004227885,0.006508799,0.0003572328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001185531,0.0002005837,0.4469252,0.0005381753,0.0004706968,0.0001859145,0.003460369,0.07245132,0.01040112,0.009827042,0.001434293,0.4529198],"study_design_scores_gemma":[0.00005877373,0.0006921659,0.7303525,0.0001228535,0.0002644953,0.001137662,0.001663629,0.2484515,0.005067108,0.008538175,0.003533825,0.0001172725],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9549977,0.001042162,0.04080843,0.0001265279,0.00003125509,0.00003029255,0.0001380781,0.00005927148,0.002766356],"genre_scores_gemma":[0.9676933,0.0003432868,0.03114248,0.00002088309,0.00002391826,0.00001842541,0.0001817658,0.0000725492,0.0005034974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00814265,"threshold_uncertainty_score":0.04306298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008627421782914,"score_gpt":0.3857251123316907,"score_spread":0.2848623701533993,"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."}}