{"id":"W4327520711","doi":"10.1145/3574198.3574222","title":"Olfactory examination for AD diagnosis based on machine learning","year":2022,"lang":"en","type":"article","venue":"","topic":"Olfactory and Sensory Function Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Artificial intelligence; Machine learning","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":[0.001450777,0.0005031689,0.0003574881,0.001827181,0.0002474741,0.0006455978,0.0002923933,0.0004744005,0.001310049],"category_scores_gemma":[0.003813103,0.0001156897,0.0004080715,0.0005626238,0.0003246017,0.0006607877,0.0004444113,0.0003244674,0.0003450707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001982745,"about_ca_system_score_gemma":0.0003530777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006613737,"about_ca_topic_score_gemma":0.001000572,"domain_scores_codex":[0.9992751,0.0002540595,0.00007664892,0.0001003124,0.0002287511,0.00006523717],"domain_scores_gemma":[0.9989051,0.0004715814,0.0002226964,0.00005134718,0.0002721602,0.0000771634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007636885,0.0004537335,0.781994,0.0003270159,0.0001716965,0.0006191888,0.0001264044,0.002637889,0.01031646,0.0002876272,0.001744984,0.2005573],"study_design_scores_gemma":[0.0001680843,0.002315437,0.8228813,0.0004036899,0.0004312387,0.006141709,0.000677934,0.1464609,0.01309996,0.003000203,0.004294924,0.000124592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559028,0.005081411,0.03323733,0.0005057033,0.0001663895,0.0002467087,0.0006036118,0.0002146584,0.004041384],"genre_scores_gemma":[0.9831218,0.0008927446,0.01504389,0.0000828004,0.000113244,0.00007255115,0.0002534453,0.000005684423,0.0004138313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001827181,"threshold_uncertainty_score":0.007672548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1870899161576388,"score_gpt":0.275331055993939,"score_spread":0.08824113983630025,"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."}}