{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02231804,0.001697886,0.002382625,0.003002544,0.002362889,0.003488947,0.003060037,0.00374905,0.09886045],"category_scores_gemma":[0.01408739,0.001307786,0.003082407,0.001756146,0.001261542,0.00167827,0.003469184,0.00248859,0.04593655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002198271,"about_ca_system_score_gemma":0.01024432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003937462,"about_ca_topic_score_gemma":0.006972889,"domain_scores_codex":[0.9867048,0.004255915,0.0008080956,0.00183858,0.005746698,0.000645968],"domain_scores_gemma":[0.9855844,0.002087432,0.001069823,0.002144793,0.008421519,0.0006918826],"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":[0.01045064,0.001377678,0.005242047,0.009893011,0.0007586678,0.001605407,0.0005258227,0.007264454,0.4089299,0.01316639,0.3332364,0.2075495],"study_design_scores_gemma":[0.000548703,0.002954093,0.004538896,0.0008973812,0.0002806352,0.0007832847,0.0001972697,0.002713697,0.1450558,0.002293559,0.8395606,0.0001761012],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1164804,0.01645352,0.3009501,0.01048052,0.01185145,0.06963515,0.2243361,0.01631198,0.2335007],"genre_scores_gemma":[0.1529766,0.01180426,0.2877269,0.00845018,0.001602489,0.03930318,0.2303387,0.01176295,0.2560347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09886045,"threshold_uncertainty_score":0.3307211,"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."}}