{"id":"W2972524168","doi":"","title":"The Canadian National Autism Neuroinformatics Platform Phase I: Development and Validation of a Universal Library of Instruments","year":2018,"lang":"en","type":"article","venue":"INSAR 2018 Annual Meeting","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Neuroinformatics; National library; Library science; Phase (matter); Computer science; Political science; Data science","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":[0.0893474,0.002691846,0.001930374,0.007943971,0.00672325,0.004724737,0.009294005,0.002399435,0.008081837],"category_scores_gemma":[0.07603284,0.001697928,0.002973134,0.005774465,0.003841787,0.003837093,0.01070294,0.003659464,0.006169369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0249907,"about_ca_system_score_gemma":0.1759238,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7248819,"about_ca_topic_score_gemma":0.7954687,"domain_scores_codex":[0.9635448,0.006159597,0.002917167,0.003519856,0.01977682,0.004081695],"domain_scores_gemma":[0.8770121,0.01161251,0.004295853,0.01005299,0.09179026,0.005236331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004772958,0.002561195,0.1133171,0.003106986,0.001115707,0.0004236785,0.007910285,0.006859947,0.02495311,0.0186103,0.263322,0.5530468],"study_design_scores_gemma":[0.001709515,0.00201226,0.4344928,0.002914259,0.001056481,0.0008475367,0.002830839,0.01293257,0.04182426,0.00580227,0.4927863,0.0007909078],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.264466,0.00766262,0.3353571,0.008813748,0.001313105,0.08470329,0.1762729,0.02783495,0.09357614],"genre_scores_gemma":[0.2019552,0.002604379,0.527217,0.004339778,0.0002312569,0.04797401,0.184404,0.004128808,0.02714554],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7248819,"threshold_uncertainty_score":0.5534766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03718950413168307,"score_gpt":0.289801037749283,"score_spread":0.2526115336175999,"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."}}