{"id":"W4200480978","doi":"10.1186/s13229-021-00475-1","title":"Correction to: The Comprehensive Autistic Trait Inventory (CATI): development and validation of a new measure of autistic traits in the general population","year":2021,"lang":"en","type":"erratum","venue":"Molecular Autism","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Autistic traits; Trait; Autism; Psychology; Measure (data warehouse); Population; Autistic spectrum disorder; Clinical psychology; Data science; Psychiatry; Autism spectrum disorder; Medicine; Computer science; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004369268,0.0003544843,0.0005168382,0.000364782,0.0001775911,0.00008263567,0.0006244946,0.0002580078,0.00004080043],"category_scores_gemma":[0.000815708,0.0002854904,0.0001159977,0.001071162,0.0001412513,0.00007181911,0.0001847957,0.0009262076,0.000005696151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002591144,"about_ca_system_score_gemma":0.001054816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265361,"about_ca_topic_score_gemma":0.0009146039,"domain_scores_codex":[0.9956917,0.00109597,0.0007279447,0.0007001021,0.001374657,0.0004096827],"domain_scores_gemma":[0.9988338,0.0001622948,0.0003968492,0.0004880363,0.00003950037,0.00007953872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003144451,0.001057804,0.0004024674,0.002348481,0.000363601,0.0007370688,0.06683163,0.01263487,0.2472176,0.1145509,0.4562589,0.09728218],"study_design_scores_gemma":[0.001977748,0.000510505,0.875762,0.002212941,0.0003069603,0.0003366159,0.000408031,0.0193171,0.02322659,0.010251,0.06431253,0.001377961],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8188477,0.01460444,0.06870867,0.03702222,0.03406252,0.01394129,0.0004434355,0.0002629705,0.01210679],"genre_scores_gemma":[0.9914256,0.00004766047,0.0004065885,0.0004019031,0.00003586589,0.00009828779,0.0002450129,0.00005845969,0.007280641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8753595,"threshold_uncertainty_score":0.9999597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0427094595211743,"score_gpt":0.2986982205675411,"score_spread":0.2559887610463669,"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."}}