{"id":"W4404578762","doi":"10.62951/modem.v2i4.237","title":"Diagnosa Penyakit Kelenjar Teroid Menggunakan Metode Case Based Reasoning","year":2024,"lang":"en","type":"article","venue":"Modem","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Computer science; Natural language processing; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005726071,0.0001649477,0.0001694701,0.0002108411,0.000139589,0.000230452,0.0006561746,0.0001283588,0.00002270186],"category_scores_gemma":[0.0001134091,0.000153707,0.00008067123,0.0004985023,0.00004404394,0.0004493933,0.0001877602,0.0002508516,0.0002784582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001139859,"about_ca_system_score_gemma":0.0001107889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009941594,"about_ca_topic_score_gemma":0.00004393894,"domain_scores_codex":[0.9984975,0.00009624732,0.0002424217,0.0005593245,0.000301239,0.0003032831],"domain_scores_gemma":[0.9987808,0.0003365343,0.00004488797,0.0007040732,0.000050011,0.00008370139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006872836,0.0001718364,0.002732301,0.0002661377,0.0002162317,0.02345271,0.002613419,0.005883183,0.005196367,0.8535098,0.03884154,0.06710953],"study_design_scores_gemma":[0.0001339622,0.00004145525,0.000102047,0.0001139131,0.00001169796,0.0008846505,0.00002663817,0.9766473,0.004550707,0.005378671,0.0118953,0.000213703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1033328,0.00147043,0.884029,0.005754206,0.0008033462,0.0002612095,0.00001075534,0.001879045,0.002459258],"genre_scores_gemma":[0.9478313,0.000003574604,0.05125359,0.0002529269,0.0001553837,0.00009072209,0.000004031056,0.00001881945,0.0003896027],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.970764,"threshold_uncertainty_score":0.626799,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677093911337702,"score_gpt":0.2678758890604753,"score_spread":0.2511049499470983,"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."}}