{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002050485,0.001098144,0.0007966191,0.002970263,0.001287272,0.005628186,0.001458225,0.003389854,0.0871112],"category_scores_gemma":[0.005966626,0.0008962794,0.001947742,0.002916117,0.002284147,0.003670843,0.00285375,0.00413869,0.04607084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001226832,"about_ca_system_score_gemma":0.00154118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001542583,"about_ca_topic_score_gemma":0.002773126,"domain_scores_codex":[0.997083,0.0004436107,0.0002488874,0.0002450496,0.001837699,0.0001417578],"domain_scores_gemma":[0.9979914,0.0007535472,0.0001271642,0.0003906072,0.0005972794,0.000139982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006192067,0.00004678839,0.0004106956,0.001395096,0.00003203166,0.0005724542,0.0004659947,0.0007179914,0.003411075,0.04374138,0.4058811,0.5432634],"study_design_scores_gemma":[0.000008332552,0.00002120859,0.000273715,0.0003603286,0.00001379066,0.00109062,0.0001328998,0.0004165186,0.001376377,0.0114271,0.9848529,0.0000263452],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004440167,0.2681178,0.12645,0.04382874,0.07332342,0.0003353135,0.001992628,0.009886036,0.4716258],"genre_scores_gemma":[0.08551898,0.2994069,0.157905,0.01973097,0.01961289,0.0005924115,0.00307586,0.004443339,0.4097137],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0871112,"threshold_uncertainty_score":0.291416,"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."}}