{"id":"W4386037235","doi":"10.5114/for.2023.130178","title":"3D Printing transformation in orthodontics","year":2023,"lang":"en","type":"article","venue":"Orthodontic Forum","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; 3d printed; Orthodontics; Biomedical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003953709,0.0001533951,0.0001801647,0.0003445873,0.00006235455,0.00003326513,0.0001619391,0.0001144061,0.00001985575],"category_scores_gemma":[0.000134445,0.0001563021,0.00005662632,0.0005118169,0.00003313265,0.0001526773,0.00005695122,0.0002610381,0.0001830355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000041246,"about_ca_system_score_gemma":0.000007259184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001223317,"about_ca_topic_score_gemma":0.00008897487,"domain_scores_codex":[0.9989333,0.00002239629,0.000282768,0.0001535695,0.0001286163,0.0004793748],"domain_scores_gemma":[0.9996137,0.00009717797,0.00002680604,0.0002183912,0.00001442901,0.00002949678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001051586,0.00002618737,0.1283595,0.0004428284,0.00005863181,0.00007902847,0.001472196,0.04929768,0.001129113,0.008296475,0.002687609,0.8081402],"study_design_scores_gemma":[0.001385997,0.00008751988,0.429602,0.0005078526,0.00003889162,0.00003302058,0.003546699,0.3896614,0.06747295,0.005061382,0.1011041,0.001498235],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9427249,0.00003808382,0.04257365,0.0003946446,0.0003714532,0.0001955071,0.000005298602,0.003916203,0.009780295],"genre_scores_gemma":[0.9925854,0.00009688482,0.007007268,0.00001641227,0.00002200015,0.00002960071,0.00001944231,0.00003699895,0.0001859712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8066419,"threshold_uncertainty_score":0.6373814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01890170467569735,"score_gpt":0.2362107753208435,"score_spread":0.2173090706451462,"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."}}