{"id":"W2622025334","doi":"10.14693/jdi.v10i1.368","title":"NEW METHOD USING IMAGE ANALYSIS TO MEASURE GINGIVAL COLOR","year":2015,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Dentistry; Measure (data warehouse); Medicine; Computer science","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":[0.001652474,0.0009382287,0.0007093408,0.005820583,0.0005295499,0.001607509,0.001081193,0.00114568,0.00688816],"category_scores_gemma":[0.002014428,0.0006897768,0.0008128274,0.002600712,0.000681187,0.001939848,0.001286162,0.001234039,0.002878038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005161918,"about_ca_system_score_gemma":0.0006157996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001053081,"about_ca_topic_score_gemma":0.001651329,"domain_scores_codex":[0.9976411,0.0003195869,0.0001279082,0.0006070893,0.001208963,0.00009544954],"domain_scores_gemma":[0.9983134,0.0003855766,0.0001281209,0.0002122029,0.0008852818,0.00007530398],"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":[0.0003534311,0.0001702188,0.006143827,0.0009064185,0.0001548028,0.0002306998,0.0003701426,0.0009184107,0.3660871,0.003712093,0.00651197,0.6144408],"study_design_scores_gemma":[0.000264005,0.001384527,0.06065514,0.0002822085,0.0007170974,0.01074444,0.0008406982,0.1490789,0.6554109,0.007499799,0.1123329,0.0007894255],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02187398,0.001715049,0.9647312,0.0002491749,0.0004240596,0.0004454326,0.000582499,0.00412054,0.005858065],"genre_scores_gemma":[0.06153919,0.001083358,0.93147,0.0001851022,0.0001489033,0.0004089737,0.0003559292,0.0002683868,0.004540243],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00688816,"threshold_uncertainty_score":0.02304316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3214297174673006,"score_gpt":0.5885008386418864,"score_spread":0.2670711211745858,"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."}}