{"id":"W2096109564","doi":"10.1007/s11692-015-9318-7","title":"Three-Dimensional Morphometrics for Quantitative Trait Locus Analysis: Tackling Complex Questions with Complex Phenotypes","year":2015,"lang":"en","type":"article","venue":"Evolutionary Biology","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Bone and Joint Health Institute; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Morphometrics; Quantitative trait locus; Biology; Phenotype; Trait; Evolutionary biology; Phenotypic trait; Stickleback; Locus (genetics); Computational biology; Genetics; Gene; Zoology; Computer science","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":[0.00164006,0.0008924553,0.001240348,0.001851505,0.0004968737,0.001436005,0.001547707,0.0008030939,0.001106667],"category_scores_gemma":[0.007142478,0.0005302608,0.001099835,0.002064617,0.001944053,0.001501688,0.001595648,0.001758816,0.0003554969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006520557,"about_ca_system_score_gemma":0.0005784577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120126,"about_ca_topic_score_gemma":0.001619171,"domain_scores_codex":[0.9992478,0.0003915695,0.00003981842,0.0001312127,0.0001685704,0.00002096713],"domain_scores_gemma":[0.9945087,0.003728617,0.0006835714,0.0006971979,0.0002173232,0.0001646476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006899641,0.0001106014,0.007234452,0.0004712388,0.0003401333,0.0002091642,0.0003659181,0.2977859,0.04879869,0.4052626,0.002757782,0.2365946],"study_design_scores_gemma":[0.000007454649,0.000017531,0.001538073,0.00001486815,0.00002055982,0.00008581021,0.00003683162,0.7593207,0.001384324,0.2359378,0.001604352,0.00003166472],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01140922,0.0004872139,0.98706,0.0002708476,0.00001826727,0.000009593237,0.0001042621,0.0001495291,0.0004910568],"genre_scores_gemma":[0.2958547,0.001823024,0.7001856,0.0001920255,0.0002151195,0.0001870615,0.0002156669,0.0001697164,0.001156975],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001851505,"threshold_uncertainty_score":0.008673608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1483056016893933,"score_gpt":0.3543340889812971,"score_spread":0.2060284872919038,"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."}}