{"id":"W6945172795","doi":"10.25345/c5w950p9w","title":"MassIVE MSV000088920 - Ammonium Sulfate-based Prefractionation Improved Proteome Coverage in Arabidopsis thaliana Leaf Extract","year":2022,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Innovation and Economic Development Trois Rivières; Université du Québec à Trois-Rivières","funders":"","keywords":"Arabidopsis thaliana; Proteome; Identification (biology); Context (archaeology)","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":[0.001039185,0.003075443,0.00223165,0.002576313,0.001044514,0.00171423,0.00205396,0.001856917,0.01676521],"category_scores_gemma":[0.002098035,0.0006025513,0.001612035,0.004414564,0.0003077413,0.001030726,0.001411014,0.001249462,0.0246812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324385,"about_ca_system_score_gemma":0.002004465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01522564,"about_ca_topic_score_gemma":0.02941169,"domain_scores_codex":[0.9991443,0.00008997234,0.00007654263,0.0003863605,0.000190637,0.0001120483],"domain_scores_gemma":[0.9992638,0.0001727686,0.00007581514,0.000199437,0.0002095474,0.00007870914],"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":[0.001566968,0.0001325252,0.005482247,0.00415579,0.0005671515,0.0002151925,0.0001051302,0.001811328,0.02752052,0.0008689504,0.9407202,0.01685404],"study_design_scores_gemma":[0.001435346,0.0002556094,0.04597554,0.0006676244,0.0008463708,0.0005618981,0.0002051812,0.006091706,0.02830963,0.003084951,0.9123653,0.0002007779],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003725946,0.0006378752,0.0004455242,0.00009238217,0.00005460538,0.00001684336,0.9913526,0.00246102,0.001213252],"genre_scores_gemma":[0.002044411,0.0001675981,0.001071183,0.00004973609,0.000004574636,0.00004343469,0.9960515,0.0001600293,0.0004075455],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01676521,"threshold_uncertainty_score":0.05608523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01839092884267174,"score_gpt":0.2664532596174982,"score_spread":0.2480623307748265,"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."}}