{"id":"W4417228806","doi":"10.35508/fisa.v10i1.20771","title":"PERKEMBANGAN PENGGUNAAN INTELIGENSIA BUATAN SEBAGAI ALAT BANTU DIAGNOSA PENYAKIT PERIODONTITIS BERBASIS DATA CITRA RONTGEN PANORAMIK GIGI: KAJIAN PUSTAKA","year":2025,"lang":"","type":"article","venue":"Jurnal Fisika Fisika Sains dan Aplikasinya","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Periodontal disease","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":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","open_science","research_integrity"],"category_scores_codex":[0.005272859,0.003265463,0.003733185,0.003242387,0.003538026,0.00526123,0.02093942,0.002488383,0.0005227137],"category_scores_gemma":[0.004303868,0.003584496,0.001383257,0.006981817,0.002178778,0.005594126,0.01130018,0.005007725,0.001030159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002596389,"about_ca_system_score_gemma":0.003971784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001852861,"about_ca_topic_score_gemma":0.00333033,"domain_scores_codex":[0.9769446,0.002204082,0.005412976,0.007222682,0.00375526,0.004460463],"domain_scores_gemma":[0.9773045,0.002565813,0.002387356,0.01423664,0.001861652,0.00164405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004164817,0.00271681,0.1772137,0.001384565,0.004534177,0.004420769,0.00799449,0.0002274639,0.003433748,0.0762328,0.235195,0.48623],"study_design_scores_gemma":[0.005344913,0.001398313,0.1715456,0.005240266,0.001795205,0.00207777,0.004727743,0.1053786,0.003971464,0.003301845,0.6885192,0.006699147],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6699973,0.02817878,0.1488824,0.08018186,0.02709634,0.009301039,0.00649339,0.0039642,0.02590475],"genre_scores_gemma":[0.9644689,0.003664892,0.0154166,0.00364764,0.002267909,0.0002407458,0.001680939,0.0004067998,0.00820557],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4795308,"threshold_uncertainty_score":0.9997476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03451652385101565,"score_gpt":0.2960992142058605,"score_spread":0.2615826903548448,"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."}}