{"id":"W4213157762","doi":"10.1080/21678421.2022.2041668","title":"CAPTURE ALS: the comprehensive analysis platform to understand, remedy and eliminate ALS","year":2022,"lang":"de","type":"article","venue":"Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration","topic":"Amyotrophic Lateral Sclerosis Research","field":"Medicine","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; Occupational Cancer Research Centre; Women and Children’s Health Research Institute; Université de Montréal; Université Laval; University of Alberta; McGill University; Simon Fraser University; ALS Society of Canada; University of Toronto; Montreal Neurological Institute and Hospital","funders":"Government of Canada","keywords":"Amyotrophic lateral sclerosis; Neurocognitive; Translational research; Neuroimaging; Medicine; Data science; Psychology; Disease; Computer science; Neuroscience; Cognition; Pathology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00908532,0.001597362,0.0009869429,0.003829384,0.003622196,0.003917653,0.002568338,0.001149877,0.01497421],"category_scores_gemma":[0.01456208,0.0007788248,0.001329975,0.002831069,0.001740535,0.002031985,0.01076708,0.001941359,0.00808249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01294428,"about_ca_system_score_gemma":0.058412,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6993155,"about_ca_topic_score_gemma":0.822791,"domain_scores_codex":[0.9961036,0.0006571249,0.0002028154,0.000817356,0.001482773,0.0007363648],"domain_scores_gemma":[0.986163,0.001537208,0.0007244206,0.002367134,0.00705645,0.002151902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003076788,0.0002678211,0.07246167,0.0008622702,0.0007830205,0.0007906074,0.005638447,0.006143048,0.01999644,0.02604349,0.6016337,0.2623026],"study_design_scores_gemma":[0.000621133,0.0002453891,0.120881,0.0009531527,0.0004463223,0.0005681491,0.003658658,0.0272384,0.01840564,0.03588726,0.7904322,0.0006627305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.06619069,0.003324529,0.3553764,0.01464851,0.001128251,0.004985212,0.3840638,0.09387033,0.07641228],"genre_scores_gemma":[0.1805322,0.002704067,0.5425214,0.006478128,0.0003299948,0.003848054,0.2144553,0.01096875,0.03816202],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6993155,"threshold_uncertainty_score":0.6049106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06568780878101059,"score_gpt":0.2795720591324349,"score_spread":0.2138842503514243,"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."}}