{"id":"W3119796950","doi":"10.3390/polym13010157","title":"Dental 3D-Printing: Transferring Art from the Laboratories to the Clinics","year":2021,"lang":"en","type":"review","venue":"Polymers","topic":"Dental materials and restorations","field":"Dentistry","cited_by":220,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Workflow; 3D printing; Process (computing); Computer science; 3d printed; Medical physics; Dentistry; Medicine; Manufacturing engineering; Engineering; Mechanical engineering","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002444846,0.0003148702,0.0007514914,0.00002944177,0.0003511178,0.0005161237,0.0006775893,0.0001987289,0.001106568],"category_scores_gemma":[0.0001155694,0.0001720953,0.0003958346,0.0003852538,0.00007991408,0.00006393463,0.0002117053,0.0003410763,0.002032751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005257835,"about_ca_system_score_gemma":0.0002042524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002194114,"about_ca_topic_score_gemma":0.001171371,"domain_scores_codex":[0.9981225,0.0003221834,0.0006068766,0.0003725475,0.0003132867,0.0002626176],"domain_scores_gemma":[0.9987077,0.0003419401,0.0001581155,0.0006665684,0.00003539957,0.00009030686],"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":[0.000009826545,0.000104993,0.0002926989,0.001144449,0.0009745979,0.000210614,0.000783931,0.000003320174,0.0000466249,0.001858585,0.02256488,0.9720055],"study_design_scores_gemma":[0.00006015677,0.000007227635,0.00006046672,0.001635862,0.0004186962,0.00002873456,0.0004916408,3.554818e-7,0.00003453326,0.000003137104,0.9970432,0.000215985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008934211,0.9882763,0.00004437935,0.0001415062,0.008092266,0.0004435319,0.0009175543,0.00005261091,0.001138451],"genre_scores_gemma":[0.0003134581,0.9946827,0.0000481233,0.0003450462,0.001546914,0.000115296,0.0003987156,0.00007276328,0.002476977],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9744783,"threshold_uncertainty_score":0.9998066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0482497242197984,"score_gpt":0.3540735477139019,"score_spread":0.3058238234941035,"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."}}