{"id":"W4412108418","doi":"10.14573/altex.2501152s3","title":"Chemical selection for the Thyroid Validation Study coordinated by EURL ECVAM and involving EU-NETVAL laboratories_suppl3","year":2025,"lang":"en","type":"article","venue":"ALTEX","topic":"Radioactive Decay and Measurement Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"RECETOX Přírodovědecké Fakulty Masarykovy Univerzity; Health Canada; Università di Pisa; Universiteit Antwerpen; Università di Catania","keywords":"Thyroid; Selection (genetic algorithm); Chemistry; Medicine; Computer science; Internal medicine; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002354893,0.00009514546,0.00009964485,0.000024605,0.0001987425,0.00007150779,0.00007740405,0.000024685,0.00001490563],"category_scores_gemma":[0.00001946653,0.00007533374,0.00002488303,0.0002092647,0.0000270041,0.000126775,0.00002213897,0.00009650711,6.956224e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002880517,"about_ca_system_score_gemma":0.00003299219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001317539,"about_ca_topic_score_gemma":0.000003884841,"domain_scores_codex":[0.9994608,0.00004765081,0.0001189751,0.0001757113,0.00007365329,0.0001231831],"domain_scores_gemma":[0.9995887,0.0001063223,0.00004656061,0.00009608447,0.0001415628,0.00002079604],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002116739,0.0008331054,0.1962805,0.00003742084,0.0007339731,1.693254e-7,0.001119358,0.00001323823,0.6150909,0.04487171,0.1119551,0.02885285],"study_design_scores_gemma":[0.001120921,0.0001879253,0.001959117,0.00001682425,0.0001636196,1.981213e-7,0.00191382,0.0008556813,0.9627084,0.002828461,0.02805918,0.0001858608],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9436923,0.0003298918,0.050914,0.0005361032,0.0002005443,0.001532568,0.00005155693,0.0001171834,0.002625912],"genre_scores_gemma":[0.9992056,0.0000051745,0.0001204928,0.00005318549,0.00009803238,0.0001902679,0.00004317569,0.000008233931,0.0002758753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3476175,"threshold_uncertainty_score":0.3072021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007853479591668103,"score_gpt":0.2714867582850562,"score_spread":0.2636332786933881,"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."}}