{"id":"W197861672","doi":"10.1021/pr034116g","title":"Liquid Chromatography MALDI MS/MS for Membrane Proteome Analysis","year":2004,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Chromatography; Proteome; Shotgun proteomics; Chemistry; Proteomics; Matrix-assisted laser desorption/ionization; Mass spectrometry; Electrospray ionization; Protein mass spectrometry; Bottom-up proteomics; Tandem mass spectrometry; Sample preparation; Shotgun; Liquid chromatography–mass spectrometry; Membrane protein; Membrane; Biochemistry; Desorption","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":[0.001087958,0.001574658,0.001094908,0.002141637,0.0008550765,0.0008919036,0.001380526,0.001159663,0.01217263],"category_scores_gemma":[0.001259579,0.0004228835,0.0006560398,0.001478499,0.0003377188,0.001233924,0.0008486175,0.001980168,0.01336277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007175328,"about_ca_system_score_gemma":0.00105017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006498565,"about_ca_topic_score_gemma":0.0009821169,"domain_scores_codex":[0.9988565,0.0002503007,0.00007739291,0.0001927591,0.0005655421,0.00005740875],"domain_scores_gemma":[0.9994261,0.0001687336,0.00006278451,0.00006361322,0.0002240653,0.00005465226],"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":[0.0001125611,0.00007294958,0.0002029934,0.0004255109,0.00005285259,0.0001936805,0.00002568309,0.0002978837,0.93557,0.001380633,0.00407805,0.05758721],"study_design_scores_gemma":[0.00008531036,0.000340765,0.001812712,0.0001200299,0.00009200423,0.0028065,0.00004505712,0.02035769,0.8604181,0.003533466,0.1102807,0.0001075397],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02587757,0.02211182,0.9210999,0.001707124,0.0010917,0.0008021867,0.003295273,0.01110665,0.01290767],"genre_scores_gemma":[0.07161055,0.01637154,0.887043,0.001622738,0.0003985666,0.001492085,0.005470114,0.0009731855,0.01501822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01217263,"threshold_uncertainty_score":0.04072154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04379495627351521,"score_gpt":0.3717784203483823,"score_spread":0.3279834640748671,"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."}}