{"id":"W3173318803","doi":"10.1096/fasebj.2019.33.1_supplement.452.9","title":"Landmark‐based 3D Morphometrics of the Developing Human Dentition in the Middle Trimester","year":2019,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"dental development and anomalies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Molar; Anatomy; Dental follicle; Mesenchyme; Dentition; Dentistry; Biology; Tooth eruption; Mandible (arthropod mouthpart); Bone remodeling; Orthodontics; Medicine; Cell biology","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":[0.0003064309,0.0001463614,0.0001526613,0.001297823,0.0001481078,0.0004830907,0.0001787295,0.0002082716,0.002695466],"category_scores_gemma":[0.0009358663,0.0002802698,0.0002677066,0.001066431,0.0001800934,0.0001400087,0.0002395861,0.0001715547,0.000678385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002559254,"about_ca_system_score_gemma":0.0002303731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006050681,"about_ca_topic_score_gemma":0.009415084,"domain_scores_codex":[0.9999071,0.00001496429,0.000005976878,0.00002790362,0.00003218501,0.00001184891],"domain_scores_gemma":[0.9997308,0.0001032314,0.00005381197,0.00004597881,0.00004902276,0.00001713276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001580935,0.00008387195,0.2571961,0.000352569,0.0001697835,0.001017739,0.002919354,0.02088983,0.3553497,0.005514171,0.00726575,0.3476602],"study_design_scores_gemma":[0.00001860561,0.0001284638,0.9086821,0.00004198849,0.00007417917,0.003772583,0.0007336283,0.03869114,0.02992622,0.0008701457,0.01698274,0.0000781229],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9363219,0.001290761,0.04816546,0.0001755041,0.000028767,0.00004496052,0.007188791,0.001204827,0.005578969],"genre_scores_gemma":[0.9615268,0.000588436,0.03377678,0.00001425161,0.00001043327,0.00004525267,0.002373428,0.0002489165,0.001415686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006050681,"threshold_uncertainty_score":0.0120309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416678441018841,"score_gpt":0.2406730032494539,"score_spread":0.2165062188392655,"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."}}