{"id":"W2917572320","doi":"10.1002/ar.24105","title":"Three‐Dimensional Geometric Morphometric Analysis of Treeshrew (Scandentia) Lower Molars: Insight into Dental Variation and Systematics","year":2019,"lang":"en","type":"article","venue":"The Anatomical Record","topic":"Evolution and Paleontology Studies","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada; Field Museum; American Museum of Natural History","keywords":"Morphometrics; Principal component analysis; Evolutionary biology; Biology; Systematics; Dentition; Taxon; Molar; Shape analysis (program analysis); Clade; Variation (astronomy); Morphological analysis; Taxonomy (biology); Phylogenetics; Zoology; Ecology; Paleontology; Genetics; Mathematics; Statistics; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004412266,0.0001162564,0.0004042299,0.0008249932,0.0001057356,0.000023955,0.000177452,0.00008480141,0.001149588],"category_scores_gemma":[0.0001403725,0.0000737139,0.0001239478,0.002783593,0.0001099848,0.0001078283,0.00003113891,0.0001212721,0.0001250429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001052944,"about_ca_system_score_gemma":0.00002087616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00389475,"about_ca_topic_score_gemma":0.04292116,"domain_scores_codex":[0.9988543,0.00009951843,0.0003440734,0.0002132206,0.0003229746,0.0001659022],"domain_scores_gemma":[0.9986989,0.0007698545,0.0001816118,0.0002087374,0.00006989372,0.00007104],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005109729,0.00002112849,0.9950886,0.00003406083,0.0005819016,0.000001608625,0.0001208961,0.0003018046,0.00001410997,0.000117748,0.0001041104,0.003562868],"study_design_scores_gemma":[0.0002116173,0.00008408862,0.875214,0.00001309379,0.0004254663,0.000003822629,0.00004497878,0.1234779,0.000004046724,0.000360216,0.00007620781,0.00008453752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944078,0.003491458,0.0005679125,0.0000772619,0.0003445095,0.0001708824,0.00002667093,0.00001269317,0.0009008336],"genre_scores_gemma":[0.9991845,0.0001529865,0.0004057415,0.00008990839,0.0000212554,8.970158e-7,0.00002829812,0.000002088119,0.0001142795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1231761,"threshold_uncertainty_score":0.9997635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01272816655956239,"score_gpt":0.2245515124856154,"score_spread":0.211823345926053,"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."}}