{"id":"W2110011900","doi":"10.1002/ajpa.10174","title":"The promise of geometric morphometrics","year":2002,"lang":"en","type":"review","venue":"American Journal of Physical Anthropology","topic":"Morphological variations and asymmetry","field":"Mathematics","cited_by":354,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Institute of Dental and Craniofacial Research","keywords":"Morphometrics; Landmark; Object (grammar); Orientation (vector space); Computer science; Field (mathematics); Sample (material); Artificial intelligence; Data science; Mathematics; Biology; Ecology; Geometry","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":[0.01368825,0.001919856,0.001925794,0.006622209,0.002284822,0.006983638,0.003167022,0.003573139,0.007766736],"category_scores_gemma":[0.03984502,0.001109038,0.002766766,0.003915296,0.01802417,0.01512664,0.007519102,0.00928689,0.005153691],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002924584,"about_ca_system_score_gemma":0.002624235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002974331,"about_ca_topic_score_gemma":0.001704911,"domain_scores_codex":[0.9914697,0.003708566,0.0003180807,0.001442259,0.002838861,0.0002225396],"domain_scores_gemma":[0.9744824,0.01425521,0.00107707,0.007127132,0.002415463,0.0006427291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003308522,0.00001328471,0.000983989,0.0002221748,0.00006219591,0.0000622888,0.0003318737,0.00671762,0.0005265881,0.8676099,0.01074758,0.1126895],"study_design_scores_gemma":[0.00001027581,0.00002802858,0.000611659,0.0001226205,0.00002122377,0.000181696,0.00009916131,0.01064184,0.0004769476,0.8792491,0.1084931,0.00006443172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.007363366,0.04195204,0.81344,0.04911745,0.004298919,0.000071947,0.0008003525,0.002928609,0.08002733],"genre_scores_gemma":[0.2524036,0.05031779,0.6406391,0.007705688,0.0139956,0.000341733,0.00109969,0.002604471,0.03089233],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01368825,"threshold_uncertainty_score":0.07239127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07704835554264167,"score_gpt":0.3895870487485845,"score_spread":0.3125386932059429,"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."}}