{"id":"W4252313395","doi":"10.1515/iupac.79.1610","title":"Metaplasia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Library science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002308929,0.00220848,0.001873541,0.005075518,0.001160723,0.004082093,0.004214861,0.002541297,0.1258119],"category_scores_gemma":[0.01728034,0.0008882686,0.004497242,0.005261828,0.0004797838,0.002579439,0.002454494,0.002103879,0.09500632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001818457,"about_ca_system_score_gemma":0.004028393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009630936,"about_ca_topic_score_gemma":0.02684632,"domain_scores_codex":[0.9973181,0.0005243273,0.0004316213,0.001052834,0.0004244537,0.0002487506],"domain_scores_gemma":[0.9957775,0.001843144,0.0003745919,0.001040168,0.0007566301,0.0002079257],"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":[0.0003415892,0.000039678,0.003059429,0.005482283,0.0003509628,0.00009407194,0.00006150666,0.00104188,0.0003867609,0.002618092,0.9677936,0.01873018],"study_design_scores_gemma":[0.0003491338,0.0000370347,0.002341877,0.001252085,0.000279226,0.0002344973,0.00007275862,0.0008308419,0.0005125864,0.005019543,0.9890324,0.00003805001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002786691,0.0006438206,0.0006084301,0.0002347782,0.00009362488,0.00006144616,0.9945213,0.001372583,0.002185273],"genre_scores_gemma":[0.001146231,0.000583304,0.002425517,0.0003668097,0.00003042332,0.0003364058,0.9929848,0.0003300584,0.001796531],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8741881,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815939285268404,"score_gpt":0.4331208991254047,"score_spread":0.4149615062727207,"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."}}