{"id":"W7117426842","doi":"10.25345/c5qb9vk2t","title":"MassIVE MSV000100339 - Bridging Simplicity and Depth in Single-Cell Proteomics: A Cost-Effective Workflow and Expanded Framework for Data Evaluation","year":2025,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Bridging (networking); Workflow; Simplicity; Data consistency; Software; Limiting","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006176751,0.00101543,0.001153218,0.0007333615,0.000200982,0.002143375,0.001059906,0.000948019,0.00003047725],"category_scores_gemma":[0.003188699,0.001046123,0.0001190869,0.0008467232,0.0003299534,0.003218392,0.002537559,0.00114448,0.00009117608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003448447,"about_ca_system_score_gemma":0.0007022016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000168977,"about_ca_topic_score_gemma":0.00002369508,"domain_scores_codex":[0.9951603,0.0003343144,0.0009035697,0.002131982,0.0005874905,0.0008822823],"domain_scores_gemma":[0.9948312,0.002200856,0.0006889653,0.001802289,0.000109116,0.0003675827],"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":[0.001145123,0.0004544185,0.002432891,0.001235811,0.0001384589,0.00003539416,0.00002024715,0.00003307052,0.00002984386,0.00001108082,0.937039,0.05742462],"study_design_scores_gemma":[0.004930053,0.0002919416,0.0003447681,0.003849769,0.0005934596,0.00002919224,0.00007658634,0.01696802,0.0007237538,0.01665962,0.9536692,0.001863627],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00364392,0.001128698,0.003241654,0.0001355822,0.0001618048,0.01771654,0.9735857,0.0002038452,0.0001822833],"genre_scores_gemma":[0.002398743,0.00007730032,0.00535049,0.0003960715,0.0003282914,0.004092645,0.9871485,0.0001834406,0.0000245572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05556099,"threshold_uncertainty_score":0.9991989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03759942052615103,"score_gpt":0.2954589106859443,"score_spread":0.2578594901597933,"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."}}