{"id":"W2008023330","doi":"10.1080/10400435.2007.10131862","title":"Intelligent Systems in Pediatric Rehabilitation","year":2007,"lang":"en","type":"article","venue":"Assistive Technology","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Rehabilitation; Physical medicine and rehabilitation; Engineering; Medicine; Physical therapy; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0005814137,0.0001075242,0.0001566754,0.001393201,0.00006464232,0.00001497336,0.0003381635,0.000179501,0.00002797673],"category_scores_gemma":[0.002240851,0.0001067001,0.00002666613,0.002324593,0.0002452539,0.0000736615,0.0001412659,0.0003388854,0.0004968271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002487938,"about_ca_system_score_gemma":0.00004584093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006376071,"about_ca_topic_score_gemma":0.0001120067,"domain_scores_codex":[0.9984273,0.00008860252,0.0003091254,0.0004532456,0.0002464857,0.0004752554],"domain_scores_gemma":[0.998812,0.0007465654,0.0000808351,0.0003012825,0.00001752279,0.00004174753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003986881,0.0002080143,0.5323973,0.00003052845,0.000001363476,0.0001013441,0.00006929812,0.00002116738,0.007688122,0.4488006,0.0001053651,0.01053698],"study_design_scores_gemma":[0.0005004713,0.0006183561,0.9272982,0.0000206811,0.000005787061,0.00004019123,0.0005980022,0.0004231693,0.037729,0.02866172,0.003810304,0.000294058],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775653,0.0002768814,0.007259739,0.004436286,0.0002266,0.000550424,0.000001971757,0.0003306741,0.009352137],"genre_scores_gemma":[0.9993953,0.00005837742,0.0002272608,0.00002419093,0.00002252301,0.00006080153,5.198405e-7,0.00001476196,0.000196338],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4201389,"threshold_uncertainty_score":0.6385874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02307156708770597,"score_gpt":0.3195660477572938,"score_spread":0.2964944806695878,"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."}}