{"id":"W4206523252","doi":"10.2319/angl-86-01-177-177.1","title":"Erratum","year":2015,"lang":"en","type":"erratum","venue":"The Angle Orthodontist","topic":"Laser Applications in Dentistry and Medicine","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Orthodontics; Computer science; Medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007707435,0.000361169,0.0006814997,0.00009626558,0.0001902673,0.00004509695,0.0004744664,0.000493417,0.000443624],"category_scores_gemma":[0.0003110899,0.0002257899,0.0002196864,0.000418447,0.0003418504,0.00004674229,0.0001715745,0.001523355,0.0008358188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000136298,"about_ca_system_score_gemma":0.0006950566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009507286,"about_ca_topic_score_gemma":0.00008898024,"domain_scores_codex":[0.9979501,0.00009602645,0.0004183727,0.0004580607,0.0006849302,0.0003925374],"domain_scores_gemma":[0.9973132,0.00005750472,0.0002345997,0.001780531,0.0003200738,0.0002940947],"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":[0.00005718972,0.0001005434,0.0001665455,0.0001766557,0.0001455662,0.0002594576,0.00008998488,1.503293e-7,0.00002729681,0.0004007597,0.9937078,0.004868076],"study_design_scores_gemma":[0.0006886863,0.0001442981,0.002073663,0.0003358957,0.0007976177,0.00105172,0.00008990593,0.00002109817,0.00003257476,0.0005864148,0.9939473,0.000230791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001702503,0.01057621,0.0004328908,0.006835801,0.02384482,0.0009242119,0.0001100046,0.0002358849,0.95687],"genre_scores_gemma":[0.0009222822,0.0008670284,0.000658913,0.001814577,0.007753919,0.0001321047,0.002417413,0.00009264085,0.9853411],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02847119,"threshold_uncertainty_score":0.9999421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0439399119740736,"score_gpt":0.3274779406666432,"score_spread":0.2835380286925696,"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."}}