{"id":"W1539942307","doi":"10.18905/jodu.38.1_37","title":"New method using image analysis to measure gingival color","year":2004,"lang":"en","type":"article","venue":"Journal of Osaka Dental University","topic":"Dental Radiography and Imaging","field":"Dentistry","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Measure (data warehouse); Artificial intelligence; Computer science; Dentistry; Computer vision; Pattern recognition (psychology); Medicine; Data mining","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":[0.0008597869,0.0008282429,0.0008705702,0.003629746,0.0005285751,0.001210246,0.001082777,0.0009389705,0.003566277],"category_scores_gemma":[0.001014832,0.0007100124,0.0007956329,0.00178539,0.0005375425,0.001540758,0.0007957193,0.001207591,0.001691939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004664233,"about_ca_system_score_gemma":0.0009035557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002003298,"about_ca_topic_score_gemma":0.003351178,"domain_scores_codex":[0.9989411,0.0001031683,0.00005529391,0.0002558211,0.0005950265,0.00004959781],"domain_scores_gemma":[0.9989535,0.000199264,0.00006739753,0.000109154,0.000619415,0.00005135339],"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":[0.0002817752,0.0002028094,0.006358383,0.0004671103,0.0002129321,0.0001442106,0.0001721134,0.001169721,0.4117748,0.002205708,0.004968517,0.572042],"study_design_scores_gemma":[0.0002059813,0.0005930483,0.05152508,0.00009404278,0.0007808069,0.005466818,0.0003665929,0.2705627,0.624063,0.003834083,0.04189602,0.0006117377],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02420289,0.001073912,0.9682767,0.0001841771,0.0003088672,0.0001989254,0.0003166173,0.002484528,0.002953478],"genre_scores_gemma":[0.08666805,0.0007988866,0.9067144,0.0001429117,0.0001189184,0.0002096265,0.0003690885,0.0002313884,0.004746747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003629746,"threshold_uncertainty_score":0.01193035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01663867717920973,"score_gpt":0.2861758337246689,"score_spread":0.2695371565454591,"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."}}