{"id":"W4404120972","doi":"10.24908/qap.v1i2.18099","title":"Lecanemab for Alzheimer's Disease","year":2024,"lang":"en","type":"article","venue":"Qapsule Queen s Undergraduate Health Sciences Journal","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Disease; Computer science; Medicine; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005420152,0.0005693383,0.0004690865,0.0005044321,0.0003309548,0.0007433766,0.0004298349,0.0007380582,0.0210596],"category_scores_gemma":[0.0009339974,0.00008566768,0.0005231824,0.000342169,0.0002718478,0.0005891102,0.0005107523,0.001458506,0.009938943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008669193,"about_ca_system_score_gemma":0.0007397442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008722682,"about_ca_topic_score_gemma":0.001795829,"domain_scores_codex":[0.9997846,0.00004595884,0.00001338231,0.00003324389,0.00009666244,0.0000261982],"domain_scores_gemma":[0.999778,0.00005187402,0.00002918556,0.00002101564,0.00005609775,0.00006380236],"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":[0.000846148,0.0002832834,0.0007229554,0.00109964,0.0001279717,0.0004920466,0.00003275851,0.0007031953,0.01291606,0.01047408,0.1809308,0.7913711],"study_design_scores_gemma":[0.0007650763,0.0006365586,0.001775068,0.0005935232,0.000125595,0.002813135,0.00001593327,0.003015355,0.00852929,0.01192486,0.9697697,0.00003578954],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03152498,0.7163553,0.03458539,0.04545962,0.008718682,0.0005441768,0.002211072,0.003156731,0.1574441],"genre_scores_gemma":[0.2679349,0.4384341,0.04267756,0.02830401,0.0069189,0.0005603719,0.00532048,0.0005252687,0.2093244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0210596,"threshold_uncertainty_score":0.07045138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05578526144453003,"score_gpt":0.3927237759390767,"score_spread":0.3369385144945467,"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."}}