{"id":"W4233486201","doi":"10.2196/preprints.29242","title":"Informing Developmental Milestone Achievement for Children With Autism: Machine Learning Approach (Preprint)","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Milestone; Machine learning; Autism spectrum disorder; Autism; Artificial intelligence; Developmental Milestone; Random forest; Logistic regression; Psychology; Computer science; Developmental psychology; Geography; Cartography","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":[0.001857041,0.0004011979,0.0003526535,0.001600761,0.000330102,0.001406352,0.0005926702,0.0005904667,0.003115644],"category_scores_gemma":[0.008385892,0.0001584917,0.000511023,0.001471361,0.0002207219,0.0008177197,0.0005648484,0.0008295212,0.0007720161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001090719,"about_ca_system_score_gemma":0.001089934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007531072,"about_ca_topic_score_gemma":0.01092049,"domain_scores_codex":[0.9992586,0.0004210081,0.00004513633,0.0001389377,0.0000932621,0.00004299319],"domain_scores_gemma":[0.9951907,0.003759139,0.0003401545,0.0001567111,0.0004563746,0.00009692487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001772834,0.0009440287,0.2471455,0.000595582,0.0002603155,0.0002819396,0.001337838,0.08567626,0.001430792,0.009387296,0.02340622,0.629357],"study_design_scores_gemma":[0.00002956637,0.0004282285,0.1511734,0.0004507544,0.0001444079,0.0002078272,0.002970104,0.8105047,0.003296025,0.0151606,0.01555753,0.0000768957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5659949,0.003875719,0.3605531,0.01835001,0.0006005765,0.0009976292,0.007602671,0.00207123,0.03995421],"genre_scores_gemma":[0.8291951,0.001316496,0.1606386,0.0004291029,0.0001761011,0.0004608829,0.00270964,0.00004117991,0.005032839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007531072,"threshold_uncertainty_score":0.01497447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03411612468267699,"score_gpt":0.2805216831601701,"score_spread":0.2464055584774931,"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."}}