{"id":"W2006768006","doi":"10.1021/pr034039p","title":"Human Serum Proteins Preseparated by Electrophoresis or Chromatography Followed by Tandem Mass Spectrometry","year":2004,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Canada","funders":"","keywords":"Chromatography; Chemistry; Mass spectrometry; Blood proteins; Top-down proteomics; Tandem mass spectrometry; Protein mass spectrometry; Electrophoresis; Sample preparation in mass spectrometry; Bottom-up proteomics; Trypsin; Electrospray ionization; Biochemistry; Enzyme","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":[0.000560045,0.0007154032,0.0004551256,0.0006725768,0.0002822272,0.0005038137,0.0003065086,0.0004080252,0.001042831],"category_scores_gemma":[0.0007164283,0.0001779303,0.0003051886,0.0005494988,0.000273813,0.0002925654,0.0002312563,0.0005610363,0.0006177261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003579287,"about_ca_system_score_gemma":0.0004186879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006606077,"about_ca_topic_score_gemma":0.0008999231,"domain_scores_codex":[0.99955,0.00006958173,0.00004320374,0.0001058073,0.0001596685,0.00007157576],"domain_scores_gemma":[0.9996414,0.00009573821,0.0000539517,0.00003510169,0.0001190204,0.00005473811],"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":[0.0001460281,0.00001822651,0.0005454244,0.00004903523,0.00001417628,0.00004071698,0.00001067424,0.00001392404,0.9973165,0.00002627823,0.00003347582,0.001785518],"study_design_scores_gemma":[0.00002414274,0.0003474353,0.01589775,0.00001470771,0.000091271,0.001058319,0.00003463351,0.0007635129,0.9789187,0.0001288521,0.002709927,0.00001075759],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9449576,0.009018911,0.0410824,0.000428404,0.0001842562,0.00020501,0.001122186,0.0004621455,0.002539106],"genre_scores_gemma":[0.9112294,0.007413443,0.0692556,0.0006756975,0.0001235763,0.0001915404,0.004813053,0.0001310834,0.006166597],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001042831,"threshold_uncertainty_score":0.00348866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02795427102533356,"score_gpt":0.365021368452963,"score_spread":0.3370670974276295,"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."}}