{"id":"W2032461244","doi":"10.1016/j.aodf.2006.09.010","title":"The Erbium Laser: The \"Star Wars\" of Dentistry","year":2006,"lang":"en","type":"article","venue":"Alpha Omegan","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Laser; Star (game theory); Orthodontics; Dentistry; Medicine; Optics; Physics; Astrophysics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003011271,0.00009992385,0.0001518628,0.00002354056,0.0002154599,0.00001496774,0.0002474759,0.00005498986,0.00007652681],"category_scores_gemma":[0.00007056535,0.00005146593,0.00007978323,0.0002578874,0.0003246246,0.00003376978,0.00004875268,0.0001772388,0.00007476817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002567541,"about_ca_system_score_gemma":0.00006063682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001292966,"about_ca_topic_score_gemma":0.0000673006,"domain_scores_codex":[0.9990351,0.00002775305,0.0002894919,0.0001511222,0.0002922846,0.0002043149],"domain_scores_gemma":[0.99888,0.0001892446,0.0001013116,0.0006813408,0.00009191925,0.0000561329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004951783,0.001305396,0.05443176,0.0004553564,0.000562421,0.000394652,0.0005262169,0.00001994488,0.08217341,0.05153012,0.7717037,0.03640188],"study_design_scores_gemma":[0.001513777,0.0001210733,0.143691,0.00007317248,0.0002881549,0.0004774049,0.0004113233,0.00008464859,0.09043196,0.002238176,0.7605532,0.0001161095],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716671,0.001321559,0.0001718048,0.007535213,0.0004181855,0.0004027987,0.00001511078,0.00004943258,0.01841884],"genre_scores_gemma":[0.9727638,0.0001049056,0.000143865,0.0003802931,0.0004578843,0.00004097277,0.00004142482,0.00001348533,0.02605341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08925925,"threshold_uncertainty_score":0.2098719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008125811427023632,"score_gpt":0.2679967497159692,"score_spread":0.2598709382889456,"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."}}