{"id":"W4318053028","doi":"10.3390/genes14020313","title":"Using Machine Learning to Explore Shared Genetic Pathways and Possible Endophenotypes in Autism Spectrum Disorder","year":2023,"lang":"en","type":"article","venue":"Genes","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Università degli Studi di Roma Tor Vergata; University of British Columbia; Simons Foundation Autism Research Initiative; Simons Foundation","keywords":"Endophenotype; Autism spectrum disorder; Autism; Phenotype; Biology; Computational biology; Neuroscience; Gene; Genetics; Psychology; Developmental psychology","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":[0.002080935,0.0003904008,0.0004905002,0.002571694,0.0003403901,0.0007807342,0.0003600295,0.0003527378,0.0008000264],"category_scores_gemma":[0.005560791,0.0001348972,0.0007015256,0.001325743,0.0004852219,0.0004526896,0.0007892419,0.0006365521,0.0001298019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003509314,"about_ca_system_score_gemma":0.0005158463,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002218121,"about_ca_topic_score_gemma":0.002134122,"domain_scores_codex":[0.9988708,0.0007130836,0.00005685859,0.0002082917,0.00007595195,0.00007492991],"domain_scores_gemma":[0.9966993,0.002649244,0.0002458195,0.0002400274,0.00008473538,0.00008084611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001268534,0.0005458245,0.5774761,0.0002286625,0.001804941,0.001028168,0.000763004,0.0797712,0.02359267,0.009055179,0.001084222,0.3033815],"study_design_scores_gemma":[0.00007760304,0.0002304509,0.2838401,0.00004798512,0.0002982521,0.0006963669,0.0004347324,0.6535611,0.003624686,0.05561445,0.0015191,0.00005513943],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8787454,0.0005449874,0.1184494,0.0004749086,0.00001592036,0.00005822704,0.0005151312,0.000226053,0.0009699269],"genre_scores_gemma":[0.9595243,0.0001085899,0.03961258,0.00005560221,0.00001328586,0.0000445279,0.0004634894,0.00001673448,0.0001608658],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002571694,"threshold_uncertainty_score":0.01100516,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1089110610664384,"score_gpt":0.3200043218469326,"score_spread":0.2110932607804942,"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."}}