{"id":"W6888990701","doi":"10.25345/c5bv7b55p","title":"MassIVE MSV000091587 - Querying the In Vitro Proteome Cysteine Reactivity of 8:2 Fluorotelomer Acrylate","year":2023,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"In vitro; Cysteine; Reactivity (psychology); Proteome; Acrylate","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":[0.0008792334,0.004037059,0.002042138,0.00241966,0.0008404668,0.001657879,0.003228492,0.00300766,0.01901842],"category_scores_gemma":[0.002671433,0.000667393,0.001692189,0.003274157,0.0004020919,0.001186834,0.001665577,0.001240171,0.02837412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001269654,"about_ca_system_score_gemma":0.001552994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01488118,"about_ca_topic_score_gemma":0.02580444,"domain_scores_codex":[0.9989343,0.000130282,0.00007359808,0.0003980952,0.0003128582,0.000150864],"domain_scores_gemma":[0.9992552,0.0001835153,0.00008797663,0.0002232002,0.0001648304,0.00008509895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001257026,0.0001328185,0.004324234,0.002774642,0.0002869664,0.0001649203,0.00006579413,0.002649835,0.008992709,0.001083712,0.9680082,0.0102592],"study_design_scores_gemma":[0.001277523,0.0002604421,0.01886442,0.0004426274,0.0003370232,0.0005679243,0.0001682875,0.01262471,0.01797247,0.005527418,0.9417937,0.0001635301],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004103378,0.0007800118,0.0004877508,0.0001205669,0.00006218348,0.00002433784,0.9874828,0.00484792,0.002091048],"genre_scores_gemma":[0.002651945,0.0001392836,0.0008828833,0.00005073012,0.000007283284,0.00003726107,0.9955427,0.0001797524,0.0005081481],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01901842,"threshold_uncertainty_score":0.06362295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338064316425062,"score_gpt":0.279820635642946,"score_spread":0.2564399924786953,"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."}}