{"id":"W4306856062","doi":"10.1016/j.bioactmat.2022.10.006","title":"Advances in orthodontic clear aligner materials","year":2022,"lang":"en","type":"article","venue":"Bioactive Materials","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":254,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Fabrication; Narrative review; Nanotechnology; Materials science; Psychology; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001975612,0.0007480137,0.0005810216,0.002287139,0.0004847236,0.001614383,0.0006307702,0.001380259,0.006654861],"category_scores_gemma":[0.001944848,0.0007087836,0.0006130601,0.001399937,0.0006230147,0.002791208,0.0009055897,0.001749198,0.002740801],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005834461,"about_ca_system_score_gemma":0.001063239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005064614,"about_ca_topic_score_gemma":0.001008587,"domain_scores_codex":[0.9990069,0.0001233394,0.0001636243,0.0001511326,0.0005071742,0.00004773588],"domain_scores_gemma":[0.9990833,0.0004702511,0.0001853624,0.00004756793,0.0001900965,0.00002348141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001443662,0.0001385843,0.0005649572,0.02751672,0.00006178588,0.0007004079,0.0005506732,0.001042614,0.05955811,0.05484097,0.01533679,0.8395439],"study_design_scores_gemma":[0.000007606396,0.0001785789,0.0006913781,0.001737507,0.00005745085,0.000960427,0.0001138564,0.0002649259,0.01748021,0.003797494,0.9746808,0.00002977246],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.004597081,0.9656361,0.008835209,0.001808177,0.001517386,0.0000531443,0.0001315497,0.00008352572,0.01733783],"genre_scores_gemma":[0.0215784,0.9526369,0.01441527,0.001011363,0.0009602206,0.00007410903,0.0001660964,0.00005011466,0.00910747],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006654861,"threshold_uncertainty_score":0.02226269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008306239302359493,"score_gpt":0.2158971443514851,"score_spread":0.2075909050491256,"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."}}