{"id":"W1998046661","doi":"10.1080/02643294.2010.519228","title":"Superior estimation abilities in two autistic spectrum children","year":2010,"lang":"en","type":"article","venue":"Cognitive Neuropsychology","topic":"Cognitive and developmental aspects of mathematical skills","field":"Mathematics","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre hospitalier de l'Université Laval; Centre Hospitalier Universitaire Sainte-Justine; Université Laval; Hôpital Rivière-des-Prairies; Université de Montréal","funders":"","keywords":"Numerosity adaptation effect; Psychology; Autism; Estimation; Rank (graph theory); Autistic spectrum; Dimension (graph theory); Set (abstract data type); Isomorphism (crystallography); Code (set theory); Metric (unit); Cognitive psychology; Pattern recognition (psychology); Statistics; Artificial intelligence; Algorithm; Developmental psychology; Computer science; Mathematics; Cognition; Combinatorics; Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004469216,0.002138925,0.001002057,0.006196612,0.001695996,0.001817092,0.0008815288,0.001641381,0.002234969],"category_scores_gemma":[0.004973701,0.0008683897,0.0008823936,0.001643786,0.002785704,0.0009425958,0.003354024,0.001441449,0.0004309172],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001451035,"about_ca_system_score_gemma":0.0008240588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01723389,"about_ca_topic_score_gemma":0.01100334,"domain_scores_codex":[0.9987658,0.0001033626,0.0002048177,0.0003362384,0.0003231054,0.0002666269],"domain_scores_gemma":[0.9982286,0.0004536733,0.0005114247,0.0001080918,0.0001781224,0.0005199899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001167664,0.0008998298,0.5951726,0.0002474886,0.00008012084,0.2963134,0.03297336,0.0005944143,0.04236083,0.001502113,0.001045839,0.02764243],"study_design_scores_gemma":[0.00007147001,0.001020034,0.7151229,0.00005974117,0.00005466683,0.2718258,0.006091761,0.0005550672,0.003105112,0.0007789641,0.001206802,0.0001076309],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989286,0.00008714387,0.00007628666,0.00006560473,0.00001279694,0.00001412316,0.00009504383,0.00001698919,0.0007034593],"genre_scores_gemma":[0.9984657,0.0001575163,0.0006024521,0.00006797044,0.0000126892,0.00003327655,0.0001486702,0.00001358802,0.0004980919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01723389,"threshold_uncertainty_score":0.03426713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003115342672161,"score_gpt":0.3427046667089686,"score_spread":0.322673513282247,"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."}}