{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00547102,0.003059404,0.002127047,0.00462791,0.001917348,0.004535643,0.005806126,0.003254918,0.06662688],"category_scores_gemma":[0.01848422,0.001216555,0.002150193,0.007105805,0.0008872168,0.002737692,0.005373022,0.002717591,0.1047629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002553127,"about_ca_system_score_gemma":0.005847371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0360267,"about_ca_topic_score_gemma":0.0816122,"domain_scores_codex":[0.996198,0.0007747298,0.0005248304,0.0009377093,0.001107391,0.0004573786],"domain_scores_gemma":[0.991569,0.002326619,0.0004487969,0.002768321,0.00217754,0.0007097728],"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":[0.000152145,0.00003045905,0.000963353,0.0005193449,0.00005901269,0.00002407187,0.00002895186,0.0003187729,0.0003378565,0.0009904609,0.9934173,0.003158356],"study_design_scores_gemma":[0.0007374749,0.00004869772,0.004758541,0.0003862819,0.00009002295,0.0001001803,0.0001442558,0.001578096,0.001804899,0.007815674,0.9824499,0.00008592998],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002080217,0.00005832267,0.0003653044,0.0001447836,0.00004431153,0.0000323026,0.996428,0.001773322,0.0009456679],"genre_scores_gemma":[0.0004230094,0.00003231393,0.001371349,0.00007301466,0.000006494042,0.0001033722,0.9973567,0.0002317579,0.0004020182],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06662688,"threshold_uncertainty_score":0.2228891,"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."}}