{"id":"W2061337534","doi":"10.1177/0022034513520548","title":"Estimating Mineral Changes in Enamel Formation by Ashing/BSE and MicroCT","year":2014,"lang":"en","type":"article","venue":"Journal of Dental Research","topic":"Bone and Dental Protein Studies","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Research Resources; National Institute of Dental and Craniofacial Research; University of Texas Health Science Center at San Antonio; National Institutes of Health","keywords":"Enamel paint; Ashing; X-ray microtomography; Mineral; Amelogenin; Mineralogy; Mineralized tissues; Tooth enamel; Chemistry; Dental enamel; Dentistry; Biomedical engineering; Dentin; Medicine; Radiology","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":[0.001540752,0.00006228717,0.0002010681,0.0002498024,0.00007738466,0.00004383286,0.00005706858,0.00004208578,0.00001084801],"category_scores_gemma":[0.0005045931,0.00004671072,0.00003072922,0.0001476798,0.00007644489,0.0002010234,0.00008739332,0.0004205333,0.000007910111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008012138,"about_ca_system_score_gemma":0.00001489023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008443273,"about_ca_topic_score_gemma":0.0001486804,"domain_scores_codex":[0.9988493,0.00009151924,0.0002455882,0.00007252192,0.0005342104,0.0002068428],"domain_scores_gemma":[0.9994932,0.000133139,0.00008892516,0.00005423038,0.0001282833,0.0001022181],"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":[0.0007815386,0.0003424113,0.2119146,0.0005314553,0.00005987526,0.000223435,0.001622372,0.000003334938,0.6033933,0.00002697292,0.03094364,0.150157],"study_design_scores_gemma":[0.0277843,0.01575768,0.5353292,0.007446904,0.0001574649,0.01274134,0.01636103,0.02393868,0.3373714,0.003158332,0.01906802,0.0008856446],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960609,0.001778202,0.0001316309,0.001069272,0.0000535365,0.0001301199,0.000001059165,0.000002860636,0.0007724069],"genre_scores_gemma":[0.9973096,0.0001677907,0.001866824,0.0001088628,0.0001959727,0.000003519427,0.00000174754,0.000007392355,0.0003383474],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3234145,"threshold_uncertainty_score":0.1904808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0555783788108245,"score_gpt":0.3945416107810454,"score_spread":0.3389632319702209,"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."}}