{"id":"W4412108380","doi":"10.14573/altex.2501152s2","title":"Chemical selection for the Thyroid Validation Study coordinated by EURL ECVAM and involving EU-NETVAL laboratories_suppl2","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; Political science; 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":[0.0002320233,0.00009488517,0.00009930938,0.00002445674,0.0001984223,0.00006869192,0.00007718078,0.00002460921,0.00001501875],"category_scores_gemma":[0.00001988008,0.00007515425,0.00002482322,0.0002067493,0.00002699293,0.0001233077,0.00002200223,0.00009602751,6.95735e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002872761,"about_ca_system_score_gemma":0.00003256753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001474231,"about_ca_topic_score_gemma":0.000003887558,"domain_scores_codex":[0.9994628,0.0000473903,0.0001185029,0.0001753393,0.00007339537,0.0001226063],"domain_scores_gemma":[0.999587,0.0001089445,0.00004633365,0.00009579625,0.0001412,0.00002071847],"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":[0.0001965737,0.0007641918,0.2120624,0.00003411145,0.0006744919,1.681953e-7,0.001014813,0.00001217521,0.6209847,0.04092295,0.1016978,0.0216356],"study_design_scores_gemma":[0.001124223,0.0001900371,0.001946983,0.0000168782,0.0001643224,2.138117e-7,0.001907604,0.0008743688,0.9645566,0.002817795,0.02621486,0.0001861087],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.948173,0.0003166792,0.04684226,0.000498183,0.0001898629,0.001451407,0.00004878641,0.000111175,0.002368638],"genre_scores_gemma":[0.9992076,0.000005059258,0.000118772,0.00005156728,0.0000974805,0.0001877941,0.00004291952,0.000008217545,0.0002805758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3435719,"threshold_uncertainty_score":0.3064701,"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."}}