{"id":"W4413834843","doi":"10.24908/iqurcp19079","title":"Applying Machine Learning for Early Detection of Autism Spectrum Disorder from Maternal Microbiome Data","year":2025,"lang":"en","type":"article","venue":"Inquiry Queen s Undergraduate Research Conference Proceedings","topic":"Autism Spectrum Disorder Research","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Autism spectrum disorder; Microbiome; Autism; Computer science; Psychology; Developmental psychology; Biology; Bioinformatics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003572817,0.001085471,0.0009673145,0.002548001,0.0004876317,0.0006938378,0.0008491753,0.001104813,0.0008076933],"category_scores_gemma":[0.01033704,0.0003272896,0.00114065,0.0009502699,0.0003133054,0.0006108644,0.0009098103,0.001252561,0.00058384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004500221,"about_ca_system_score_gemma":0.000967543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005187399,"about_ca_topic_score_gemma":0.004687505,"domain_scores_codex":[0.9984988,0.000593817,0.0001345173,0.0003954041,0.0001834091,0.0001940198],"domain_scores_gemma":[0.9955353,0.002953863,0.0004746116,0.000314448,0.0005468043,0.0001751463],"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":[0.00116497,0.000847007,0.2761268,0.0004005604,0.0007226769,0.0008697227,0.0002597326,0.1594759,0.01202072,0.001281843,0.007137029,0.5396929],"study_design_scores_gemma":[0.00003448013,0.0001818685,0.02049168,0.00004688376,0.00007207299,0.0002243653,0.0001116922,0.9702266,0.00364362,0.003503763,0.001434015,0.00002894372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4634398,0.004356456,0.5193283,0.001226985,0.0003124039,0.0003931111,0.004111832,0.004663055,0.002167969],"genre_scores_gemma":[0.8619107,0.0004838204,0.1318324,0.0002828725,0.000131881,0.0002285686,0.004405172,0.00008406054,0.0006404369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005187399,"threshold_uncertainty_score":0.01889509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052130035489351,"score_gpt":0.3744079425229648,"score_spread":0.2691949389740297,"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."}}