{"id":"W4238766780","doi":"10.1074/mcp.s800108-mcp200","title":"Program","year":2009,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computational biology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00199988,0.0009758594,0.0006751492,0.001368077,0.002496677,0.005011984,0.002477901,0.002194829,0.7407498],"category_scores_gemma":[0.00378408,0.0004401095,0.0008587496,0.001218538,0.0005880071,0.003567832,0.00437449,0.002295035,0.507055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0020893,"about_ca_system_score_gemma":0.00360635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002345508,"about_ca_topic_score_gemma":0.003821761,"domain_scores_codex":[0.998421,0.000208368,0.00006336841,0.0004451986,0.0006126103,0.0002495113],"domain_scores_gemma":[0.9968804,0.0002312318,0.00009445449,0.0004739769,0.001404361,0.0009156122],"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":[0.00007282326,0.0000651923,0.0002893717,0.0001220982,0.000006479644,0.0000533254,0.0001137804,0.00008701807,0.0005071503,0.01329988,0.8793609,0.1060221],"study_design_scores_gemma":[0.00000640525,0.00001694875,0.0002620975,0.00003702967,0.000001850181,0.00003644814,0.00005886239,0.00006134435,0.0001606768,0.001635849,0.9977182,0.000004342871],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001598327,0.001670615,0.009442654,0.01325145,0.01253079,0.0005686606,0.006989954,0.005088084,0.9488595],"genre_scores_gemma":[0.005885863,0.001125538,0.004284587,0.003320525,0.001670654,0.0003531259,0.006201345,0.001629287,0.975529],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2592502,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006837671190578831,"score_gpt":0.2582248405012476,"score_spread":0.2513871693106688,"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."}}