{"id":"W6885427797","doi":"10.1371/journal.pdig.0000620.s003","title":"Hyperparameter tuning details.","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Attention Deficit Hyperactivity Disorder","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cohort; Vulnerability (computing); Hyperparameter; Identification (biology); Attention deficit hyperactivity disorder; Learning curve; Typically developing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003667176,0.002657699,0.001236688,0.00169512,0.000752665,0.002330511,0.003236984,0.003532487,0.1310453],"category_scores_gemma":[0.02439833,0.0009520761,0.001798888,0.00139389,0.0005385266,0.002614243,0.00161767,0.004011976,0.05290022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001014273,"about_ca_system_score_gemma":0.003153754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006721687,"about_ca_topic_score_gemma":0.01029316,"domain_scores_codex":[0.9987403,0.0004426457,0.0001286693,0.000327013,0.0001765049,0.0001849046],"domain_scores_gemma":[0.9961747,0.002129822,0.0001243869,0.0007413619,0.0006547545,0.0001750076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00153106,0.0008302218,0.005975842,0.001558226,0.0004677366,0.0003362137,0.000294957,0.08750429,0.00318022,0.009533153,0.4892668,0.3995212],"study_design_scores_gemma":[0.002453615,0.0002390278,0.003502566,0.0007678744,0.0002409429,0.0003915429,0.000466954,0.6818649,0.009617697,0.04280394,0.2575101,0.0001409789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04377864,0.008200489,0.5505092,0.00635921,0.006708147,0.003502621,0.05166854,0.23902,0.09025318],"genre_scores_gemma":[0.2463584,0.001558573,0.5941145,0.003895062,0.000803824,0.006606583,0.05606421,0.0290923,0.06150653],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1310453,"threshold_uncertainty_score":0.4383902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09407420041323365,"score_gpt":0.344786102422572,"score_spread":0.2507119020093383,"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."}}