{"id":"W4388422400","doi":"10.1111/jzo.13122","title":"Skull morphology of bottlenose dolphins worldwide and patterns of adaptation between coastal and offshore environments","year":2023,"lang":"en","type":"article","venue":"Journal of Zoology","topic":"Marine animal studies overview","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"European Social Fund; Agencia Estatal de Investigación; Narodowa Agencja Wymiany Akademickiej","keywords":"Ecotype; Morphometrics; Biology; Submarine pipeline; Habitat; Rostrum; Adaptation (eye); Cetacea; Variation (astronomy); Morphology (biology); Bottlenose dolphin; Ecology; Skull; Zoology; Genus; Oceanography; Paleontology; Geology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003528366,0.0001986121,0.0001922414,0.001668032,0.0002377495,0.0003608725,0.0001724418,0.0001809306,0.001549578],"category_scores_gemma":[0.0006053399,0.00014193,0.0002713773,0.001225141,0.000380968,0.0002430903,0.0005354313,0.000153734,0.0001640266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369861,"about_ca_system_score_gemma":0.0001148227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008659887,"about_ca_topic_score_gemma":0.02718936,"domain_scores_codex":[0.9997876,0.00005281156,0.00001968223,0.00008211104,0.00003173289,0.0000261184],"domain_scores_gemma":[0.9995188,0.0000878211,0.0001908485,0.00004817884,0.00009945854,0.0000548338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004078523,0.000007115081,0.9900407,0.00002963911,0.0001634224,0.00007477417,0.0005618815,0.00005397216,0.002432734,0.00002131647,0.00007456502,0.006499049],"study_design_scores_gemma":[2.019611e-7,0.0000105391,0.999382,0.000004555116,0.000008327176,0.0000578314,0.0004228958,0.000009012176,0.00003832065,0.000004215527,0.00006118503,8.691155e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991025,0.0002895057,0.00006615141,0.00001058467,0.000001442561,0.000001389493,0.0001748985,0.000001551653,0.0003520716],"genre_scores_gemma":[0.9991841,0.0002513923,0.0001204601,0.00001050953,0.000002352524,0.000002638196,0.000242019,0.000001672758,0.0001848474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008659887,"threshold_uncertainty_score":0.01721901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02379379468113848,"score_gpt":0.2483310562994161,"score_spread":0.2245372616182776,"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."}}