{"id":"W4234627407","doi":"10.1515/iupac.88.0805","title":"Fibroblast","year":2017,"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":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; Data mining","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":[],"consensus_categories":[],"category_scores_codex":[0.00208403,0.001363453,0.001381024,0.003674392,0.0009348379,0.003680171,0.002485408,0.001891576,0.1942196],"category_scores_gemma":[0.01898812,0.0006193825,0.001941532,0.006649653,0.0004278145,0.002563746,0.002190153,0.001926782,0.2055805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847428,"about_ca_system_score_gemma":0.003992189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01451437,"about_ca_topic_score_gemma":0.02637311,"domain_scores_codex":[0.9967242,0.0006001191,0.0007287923,0.001014195,0.0006035226,0.0003291799],"domain_scores_gemma":[0.9928703,0.001960426,0.0007641509,0.001577078,0.002432906,0.0003952053],"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":[0.0001330313,0.0000153299,0.001333138,0.001477319,0.00004291331,0.00002060123,0.0000271699,0.0001052874,0.00008397813,0.001011114,0.9880305,0.007719521],"study_design_scores_gemma":[0.0001591202,0.00001544063,0.002467871,0.00092549,0.00003497602,0.00006807199,0.00006527773,0.0001153358,0.0001601573,0.001254411,0.9947138,0.00002005543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001108321,0.0001766236,0.0001388432,0.0001645883,0.00006727741,0.00004696747,0.9962949,0.000250662,0.002749318],"genre_scores_gemma":[0.0004399389,0.0001934996,0.0004695417,0.0003138973,0.00002384592,0.0002167401,0.9961724,0.00009428475,0.002075867],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1942196,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0216375185753424,"score_gpt":0.462258596732717,"score_spread":0.4406210781573746,"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."}}