{"id":"W4240994475","doi":"10.1515/iupac.79.1694","title":"Nodule","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer and Skin Lesions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002366494,0.0003315707,0.000712738,0.0002065565,0.00008133896,0.00002046079,0.000189839,0.0003532322,0.01407051],"category_scores_gemma":[0.0004312281,0.0002247782,0.000256038,0.0001550563,0.0001299913,0.00003522005,0.0001112408,0.0004940628,0.00001271543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005031107,"about_ca_system_score_gemma":0.00141126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001335492,"about_ca_topic_score_gemma":0.0004800204,"domain_scores_codex":[0.9978123,0.00002866739,0.0003646709,0.0004365458,0.000986686,0.0003711819],"domain_scores_gemma":[0.9981167,0.00006343678,0.0001205778,0.001011673,0.0004020275,0.0002855996],"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":[0.0003030172,0.0002101219,0.00001617097,0.0001863283,0.0001087915,0.000349054,0.000005303081,6.513039e-8,0.00001916968,0.000004760091,0.9946975,0.004099679],"study_design_scores_gemma":[0.001870659,0.0003155785,0.0001293052,0.0009052785,0.0003090758,0.0001909566,0.000008461602,7.392184e-7,0.00002556118,0.00005497682,0.9959222,0.0002672118],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006693839,0.001067304,0.00007812781,0.002455015,0.0009760238,0.0003135292,0.9945869,0.00007249209,0.0003835972],"genre_scores_gemma":[0.00002438599,0.001840329,0.00004981075,0.001110631,0.002622693,0.00001500319,0.9912921,0.00004254052,0.003002504],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01405779,"threshold_uncertainty_score":0.9868308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01714342971177392,"score_gpt":0.4376321751974725,"score_spread":0.4204887454856986,"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."}}