{"id":"W4393869580","doi":"10.1017/cts.2024.268","title":"293 The MEND Initiative: Meaningfully Empowering the NeuroDiverse","year":2024,"lang":"en","type":"article","venue":"Journal of Clinical and Translational Science","topic":"Neuroscience, Education and Cognitive Function","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Political science; Business","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":[0.008134733,0.0004379227,0.0002040416,0.0005821749,0.003478016,0.003958346,0.001754789,0.00163773,0.01207249],"category_scores_gemma":[0.01296223,0.0001992464,0.0004517647,0.0002961626,0.003758678,0.003163347,0.01320749,0.002152226,0.002195182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002899152,"about_ca_system_score_gemma":0.01177835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003089099,"about_ca_topic_score_gemma":0.01721357,"domain_scores_codex":[0.9928359,0.004934812,0.0001518039,0.0003602666,0.001022854,0.0006942463],"domain_scores_gemma":[0.9934453,0.001668929,0.0002921758,0.000541906,0.0005705463,0.003481201],"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":[0.0005611332,0.001533594,0.0143098,0.001680259,0.0000412433,0.001196921,0.08542387,0.0003267921,0.005255935,0.06083999,0.1773265,0.6515039],"study_design_scores_gemma":[0.0001811976,0.0008201468,0.007181855,0.0009702474,0.00005216365,0.0008577254,0.05377501,0.0005816366,0.003022821,0.01798816,0.9145182,0.00005098094],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2976013,0.005685027,0.05179515,0.1302743,0.004506989,0.003565174,0.00106484,0.003282035,0.5022251],"genre_scores_gemma":[0.7625239,0.003905913,0.1089461,0.01610395,0.0004718168,0.004306714,0.0007848947,0.0004914857,0.1024651],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01207249,"threshold_uncertainty_score":0.04302114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1469981640591263,"score_gpt":0.4225674707889044,"score_spread":0.2755693067297781,"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."}}