{"id":"W4411569616","doi":"10.1002/pmic.13981","title":"Defining the Molecular Impacts of Humalite Application on Field‐Grown Wheat ( <i>Triticum aestivum</i> L.) Using Quantitative Proteomics","year":2025,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Food composition and properties","field":"Nursing","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Mitacs","keywords":"Proteomics; Biology; Quantitative proteomics; Computational biology; Agronomy; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003296125,0.0001849339,0.0002285965,0.0001258585,0.0002583073,0.000062028,0.0002436922,0.0001171583,0.000003591144],"category_scores_gemma":[0.0002498968,0.0001465185,0.00009767633,0.000335459,0.0001104833,0.0001123662,0.00006609658,0.000299545,0.000008977499],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001015317,"about_ca_system_score_gemma":0.00006525617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002253397,"about_ca_topic_score_gemma":0.00001190684,"domain_scores_codex":[0.9987647,0.000182413,0.0003654352,0.0002581026,0.0001838508,0.0002455227],"domain_scores_gemma":[0.999031,0.0001984849,0.0001820896,0.000380131,0.0001694534,0.0000388405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002772825,0.0001402891,0.000760369,0.0002980166,0.00006344057,0.000001616243,0.001263384,0.002509241,0.9064753,0.0817287,0.0001011428,0.00388569],"study_design_scores_gemma":[0.000497883,0.0008844192,0.0001662307,0.0004455095,0.00005307841,0.000005115347,0.0001895876,0.01474368,0.9763623,0.006088861,0.0003890873,0.0001741707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9212379,0.001048402,0.06752244,0.005547348,0.0002731376,0.002011881,0.00001953359,0.00008547957,0.002253808],"genre_scores_gemma":[0.9655859,0.000007841328,0.03183048,0.002371542,0.00002224048,0.0001380944,0.000009386873,0.00002295746,0.00001152765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07563984,"threshold_uncertainty_score":0.5974851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01549904187743478,"score_gpt":0.2985348473233597,"score_spread":0.2830358054459249,"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."}}