{"id":"W4242654586","doi":"10.3410/f.726133421.793545854","title":"Faculty Opinions recommendation of Modeling autism spectrum disorders with human neurons.","year":2018,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institutes of Health; Conselho Nacional de Desenvolvimento Científico e Tecnológico; University of Calgary; Fundação de Amparo à Pesquisa do Estado de São Paulo; National Alliance for Research on Schizophrenia and Depression; California Institute for Regenerative Medicine","keywords":"Autism; Spectrum (functional analysis); Psychology; Autism spectrum disorder; Neuroscience; Computer science; Developmental psychology; Physics","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":[0.001877797,0.001347626,0.0009465895,0.003243983,0.0004949999,0.002107343,0.002164119,0.00139935,0.08535362],"category_scores_gemma":[0.01417197,0.0003164897,0.001411991,0.004330423,0.0002959052,0.00140475,0.001450729,0.001164631,0.0726213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086628,"about_ca_system_score_gemma":0.002966052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01543311,"about_ca_topic_score_gemma":0.03909858,"domain_scores_codex":[0.9983386,0.000415388,0.0002495259,0.0004250619,0.0004348267,0.0001365166],"domain_scores_gemma":[0.9946433,0.002108074,0.0007417812,0.0008509196,0.001167318,0.000488525],"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":[0.000068093,0.00001605602,0.002734056,0.001138837,0.00007471224,0.00003413826,0.0000262409,0.0002334808,0.0001096471,0.0006369795,0.9892415,0.005686158],"study_design_scores_gemma":[0.000101913,0.00001042342,0.003293454,0.0003996848,0.00005294372,0.0000663048,0.00004507946,0.0002910642,0.0001858265,0.0006739891,0.9948673,0.00001195114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002518568,0.0002691459,0.0001728634,0.0003684268,0.00007223357,0.00002230162,0.9963055,0.0003713157,0.002166469],"genre_scores_gemma":[0.001327917,0.0003042727,0.00072466,0.0002403637,0.00003278038,0.0001225788,0.9953602,0.000120631,0.001766643],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08535362,"threshold_uncertainty_score":0.2855363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0467842938170409,"score_gpt":0.3686635866104687,"score_spread":0.3218792927934278,"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."}}