{"id":"W7008561056","doi":"","title":"Characterization of preclinical transgenic rat models for Alzheimer’s disease-like pathology","year":2023,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Alzheimer's disease research and treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Medical Research Council; Fonds de Recherche du Québec - Santé; McGill University Health Centre; JW and HM Goodman Family Foundation; Consortium canadien en neurodégénérescence associée au vieillissement; McGill University","keywords":"Rat model; Genetically modified mouse; Transgene; Animal model; In vivo","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0005961853,0.0007053596,0.0004727492,0.001409305,0.0003563905,0.0006623088,0.0005655758,0.0003922386,0.004594311],"category_scores_gemma":[0.0003912779,0.0003299189,0.0006901073,0.000384656,0.0002523026,0.0005162758,0.000245055,0.001173937,0.001929008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005666053,"about_ca_system_score_gemma":0.0004945224,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002268426,"about_ca_topic_score_gemma":0.004386735,"domain_scores_codex":[0.9996796,0.00002943324,0.0000274099,0.0000656543,0.00009853557,0.0000994368],"domain_scores_gemma":[0.9994264,0.000060764,0.0001343962,0.00005773841,0.0001961344,0.0001247054],"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":[0.0001332581,0.0001465058,0.0001966216,0.00002572773,0.000006542174,0.0000484919,0.0000273716,0.00002478687,0.9969754,0.000156258,0.0002035587,0.002055598],"study_design_scores_gemma":[0.000071108,0.001370743,0.008204252,0.00004080434,0.0001193698,0.0007553284,0.0001400771,0.0004944814,0.9787298,0.0001970376,0.009857979,0.00001917913],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9430653,0.00510503,0.0319497,0.001042892,0.0003350143,0.0005674947,0.00415206,0.0007603516,0.01302208],"genre_scores_gemma":[0.8852991,0.009299259,0.03177074,0.0004782847,0.0001289919,0.0008494085,0.01150358,0.0008207898,0.05984979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004594311,"threshold_uncertainty_score":0.01536947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07544824797494115,"score_gpt":0.3429725876827571,"score_spread":0.267524339707816,"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."}}