{"id":"W2991308802","doi":"10.2147/ijn.s217420","title":"<p>Phenotypic Properties of Collagen in Dentinogenesis Imperfecta Associated with Osteogenesis Imperfecta</p>","year":2019,"lang":"en","type":"article","venue":"International Journal of Nanomedicine","topic":"Connective tissue disorders research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Universiti Sains Islam Malaysia; Universiti Sains Malaysia; International Association for Dental Research","keywords":"Dentinogenesis imperfecta; Dentin; Osteogenesis imperfecta; Molar; Demineralization; Chemistry; Ultrastructure; Dentinogenesis; Type I collagen; Dentinal Tubule; Materials science; Biophysics; Dentistry; Anatomy; Pathology; Odontoblast; Medicine; Biology; Composite material; Enamel paint","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000627576,0.0001704102,0.000370369,0.0003998011,0.00002090065,0.00001665616,0.0005271112,0.0001105503,0.0002082429],"category_scores_gemma":[0.0006126646,0.000129126,0.0001149271,0.0002785114,0.0001496274,0.00001647617,0.0001293951,0.00008659196,0.000007452992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001235117,"about_ca_system_score_gemma":0.0003423159,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003644793,"about_ca_topic_score_gemma":0.0003530305,"domain_scores_codex":[0.9981189,0.0001356792,0.0005337669,0.0002267522,0.0007485349,0.0002363102],"domain_scores_gemma":[0.9979888,0.00005979108,0.000405906,0.0001859073,0.001279615,0.00008004552],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001129775,0.0001836808,0.1076079,0.00002403574,0.0004940449,0.00003780286,0.0001646665,0.00009411325,0.8882527,0.00001478403,0.0001707358,0.00182576],"study_design_scores_gemma":[0.007734947,0.003137311,0.2436361,0.0006961584,0.00008673457,0.0002111877,0.0003730399,0.0001137349,0.7402359,0.00002005308,0.003443618,0.0003112654],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926671,0.005891889,0.00004293166,0.0004847853,0.0002894974,0.0002547744,0.00001694234,0.000003057127,0.00034901],"genre_scores_gemma":[0.9983823,0.0005256141,0.00003945354,0.0000611529,0.0001776714,0.000008410731,0.000030465,0.00002892061,0.0007459783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1480168,"threshold_uncertainty_score":0.5265606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009861111126560516,"score_gpt":0.2515746389854291,"score_spread":0.2417135278588686,"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."}}