{"id":"W4232359937","doi":"10.1515/iupac.88.1490","title":"Vimentin","year":2017,"lang":"it","type":"dataset","venue":"IUPAC Standards Online","topic":"Melanoma and MAPK Pathways","field":"Biochemistry, Genetics and Molecular Biology","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; Data mining; Philosophy","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":[0.00158349,0.001381766,0.001232138,0.003883338,0.001053908,0.00375968,0.002360902,0.00169737,0.1844382],"category_scores_gemma":[0.01506674,0.0005992853,0.001703742,0.006451509,0.0004484355,0.003158031,0.002492804,0.001826583,0.2049281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001659345,"about_ca_system_score_gemma":0.002946129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01354938,"about_ca_topic_score_gemma":0.02556125,"domain_scores_codex":[0.9972855,0.0004513272,0.0005310808,0.0008950211,0.0005571595,0.0002799096],"domain_scores_gemma":[0.9944717,0.001538373,0.0005952478,0.001423504,0.001646089,0.0003251412],"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":[0.0001107596,0.00001535636,0.001472123,0.00136584,0.00003506012,0.00002747605,0.00003857621,0.0001506936,0.0001537517,0.001451737,0.9849036,0.01027497],"study_design_scores_gemma":[0.00007274064,0.00001200171,0.002405593,0.0005987932,0.00002175609,0.00005683072,0.00007148353,0.0001387118,0.000192422,0.001428711,0.994983,0.00001792986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001694803,0.0002114142,0.0002536214,0.0001813289,0.00007556209,0.00004688764,0.9946148,0.000541864,0.003905065],"genre_scores_gemma":[0.0004813618,0.0001763301,0.0005676963,0.0002440246,0.00001848256,0.0001620298,0.9960696,0.0001413949,0.002139109],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1844382,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01445314630126379,"score_gpt":0.3957062548108621,"score_spread":0.3812531085095983,"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."}}