{"id":"W7070913007","doi":"","title":"Preclinical in vivo longitudinal assessment of KG207-M as a disease-modifying Alzheimer's disease therapeutic","year":2021,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"X-ray Diffraction in Crystallography","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; Québec Consortium for Drug Discovery; Consortium canadien en neurodégénérescence associée au vieillissement; Weston Brain Institute; Fonds de Recherche du Québec - Santé; Royal Swedish Academy of Sciences; Alzheimer's Association","keywords":"In vivo; Cerebrospinal fluid; Magnetic resonance imaging; Biomarker; Fusion protein; Preclinical imaging; Atrophy; Clinical trial","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0005507431,0.0007234528,0.0006651275,0.0002646163,0.0001961144,0.0003361189,0.0004151798,0.0005797631,0.0008718336],"category_scores_gemma":[0.0001923307,0.0001934041,0.0003480195,0.0001845965,0.0003036374,0.0003860393,0.0001398889,0.001064816,0.0003089501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002636357,"about_ca_system_score_gemma":0.0004751128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005892265,"about_ca_topic_score_gemma":0.001114272,"domain_scores_codex":[0.9998302,0.00004112101,0.00001386167,0.00003017925,0.00002451456,0.0000600169],"domain_scores_gemma":[0.9998186,0.00001626366,0.00004652333,0.00002348171,0.00003568126,0.00005958431],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003348266,0.003558789,0.0004143304,0.0000856734,0.00003736435,0.00007203514,0.00004305576,0.0002658845,0.9858571,0.00009686779,0.0002545478,0.005966059],"study_design_scores_gemma":[0.0008618024,0.08603602,0.005856222,0.00001885688,0.0002578245,0.0003661776,0.00006228597,0.001710792,0.9010248,0.0001375019,0.003649364,0.0000184666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940858,0.001042834,0.003142676,0.0001227284,0.00006879502,0.0002789894,0.0004137953,0.00008508932,0.0007592352],"genre_scores_gemma":[0.9908265,0.001299455,0.003964895,0.0001293758,0.00004832763,0.0005881735,0.0009391025,0.00002974705,0.002174402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008718336,"threshold_uncertainty_score":0.002916574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03508555004662529,"score_gpt":0.3029975184785221,"score_spread":0.2679119684318969,"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."}}