{"id":"W6999543494","doi":"","title":"Diagnosis of active periodontitis using near infrared spectroscopy","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Near-infrared spectroscopy; Periodontitis; Active carbon; Spectroscopy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008002433,0.0003339307,0.0006015822,0.002146707,0.0004951058,0.0006079519,0.0004845282,0.001412969,0.004907501],"category_scores_gemma":[0.002084862,0.0002104717,0.0003080269,0.0006528688,0.0004497272,0.0005086535,0.0002000961,0.0006571499,0.001675298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001550186,"about_ca_system_score_gemma":0.0002413959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007889846,"about_ca_topic_score_gemma":0.001359172,"domain_scores_codex":[0.9994363,0.0001124314,0.000080874,0.00005646992,0.0002578727,0.0000560873],"domain_scores_gemma":[0.9991873,0.0002881642,0.00007649732,0.00004593024,0.000288569,0.0001135154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006128622,0.001853416,0.5771935,0.0009053802,0.000120964,0.06013728,0.0005244136,0.000149945,0.1285122,0.0008529304,0.02381277,0.1998085],"study_design_scores_gemma":[0.0002761375,0.004088769,0.7523848,0.000662384,0.0004114155,0.1515904,0.001202658,0.001833238,0.0344072,0.001417362,0.05165639,0.00006920407],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.860275,0.01872975,0.008152639,0.007296179,0.002096857,0.0006393224,0.001839837,0.0002188734,0.1007515],"genre_scores_gemma":[0.9722525,0.00546193,0.006656205,0.001226503,0.001116427,0.00007265975,0.0008861374,0.00004120318,0.01228648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004907501,"threshold_uncertainty_score":0.01641721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242098076966565,"score_gpt":0.3120744347788184,"score_spread":0.2996534540091528,"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."}}