{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002327724,0.001076318,0.001140744,0.001956169,0.001173902,0.005151125,0.0008109126,0.001855441,0.01166331],"category_scores_gemma":[0.003338144,0.0005437261,0.001041727,0.001164619,0.001650163,0.002301158,0.001571925,0.002073486,0.003775008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001509495,"about_ca_system_score_gemma":0.002183648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004704709,"about_ca_topic_score_gemma":0.006742687,"domain_scores_codex":[0.9982829,0.0004245061,0.0001670139,0.000352794,0.0005729685,0.000199817],"domain_scores_gemma":[0.9978324,0.0008051388,0.0003329433,0.0001564587,0.0006780355,0.0001950916],"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":[0.001744513,0.0009087088,0.0693433,0.004149204,0.0004295606,0.004562819,0.004299731,0.001084466,0.1019643,0.008856626,0.02040075,0.7822561],"study_design_scores_gemma":[0.0001975765,0.003276099,0.2187672,0.004942958,0.001364623,0.03309287,0.01585764,0.006254492,0.1414619,0.03125417,0.5429584,0.0005720976],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.4810009,0.1991119,0.09607194,0.02684153,0.004057347,0.00146908,0.003152995,0.00238394,0.1859102],"genre_scores_gemma":[0.7582719,0.0690074,0.07277375,0.005860968,0.0009855555,0.0007141237,0.00176889,0.0004049224,0.09021243],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01166331,"threshold_uncertainty_score":0.03901768,"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."}}