{"id":"W4387377188","doi":"10.59934/jaiea.v3i1.258","title":"Diagnosis Of Cholesterol Disease In Adolescence Using Certainty Factor Method","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence and Engineering Applications (JAIEA)","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Certainty; Cholesterol; Disease; Medicine; Expert system; Psychology; Computer science; Artificial intelligence; Endocrinology; Pathology; Mathematics","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":[0.0004762557,0.00009950792,0.0001980208,0.0005594434,0.00004219638,0.0000411123,0.0004732845,0.00006030589,0.000001757302],"category_scores_gemma":[0.0001574976,0.00009830896,0.00005931547,0.001130077,0.00003929778,0.0002672274,0.00008441932,0.0001816628,0.000006289247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004875869,"about_ca_system_score_gemma":0.00005850837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002511788,"about_ca_topic_score_gemma":0.000004264883,"domain_scores_codex":[0.9988455,0.00002918663,0.0005840217,0.0001711663,0.0002086408,0.000161552],"domain_scores_gemma":[0.9990474,0.0002532252,0.0002184501,0.0002477197,0.00014036,0.00009283577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001538582,0.0002257781,0.04038128,0.0002351113,0.00005024329,0.00002215663,0.001148735,0.6326733,0.03614908,0.06077786,0.00002333557,0.2282977],"study_design_scores_gemma":[0.00003945337,0.00003844747,0.03484788,0.0002739424,0.00001374541,0.0000198381,0.0001517275,0.9174572,0.03939887,0.007342464,0.0002419504,0.0001745185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.240872,0.0001145447,0.7583277,0.0004281907,0.00008760476,0.0001258255,0.000004114646,0.00003875249,0.00000122924],"genre_scores_gemma":[0.961631,0.0001131112,0.03813854,0.00001167774,0.00006264715,0.00003274356,5.41262e-7,0.000007639013,0.000002103724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.720759,"threshold_uncertainty_score":0.4008923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06742254398416903,"score_gpt":0.3320519466528674,"score_spread":0.2646294026686983,"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."}}