{"id":"W1979996176","doi":"10.1126/scisignal.254pl1","title":"Genome to Kinome: Species-Specific Peptide Arrays for Kinome Analysis","year":2009,"lang":"en","type":"article","venue":"Science Signaling","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of Saskatchewan","funders":"","keywords":"Kinome; Phosphorylation; Computational biology; Biology; Peptide; Cell biology; Biochemistry","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":[0.001068214,0.001153066,0.001036118,0.001872434,0.0007066476,0.001138449,0.00125788,0.001322483,0.01808541],"category_scores_gemma":[0.002564125,0.0008196267,0.0006355882,0.001347389,0.0004016713,0.001174064,0.001380752,0.001866117,0.009102874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000407275,"about_ca_system_score_gemma":0.0004564902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005198739,"about_ca_topic_score_gemma":0.001106154,"domain_scores_codex":[0.999137,0.0002157024,0.00005889541,0.000223787,0.0002831766,0.00008146773],"domain_scores_gemma":[0.9990731,0.0003008994,0.0001279909,0.0002438927,0.0001531451,0.0001008283],"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":[0.001002719,0.0002198967,0.003227961,0.001100422,0.0002927812,0.0005194533,0.000272928,0.001818169,0.6806705,0.008857079,0.125895,0.176123],"study_design_scores_gemma":[0.0003320425,0.0004858707,0.02179307,0.0001319933,0.0002391487,0.003032467,0.00020855,0.03773005,0.478979,0.02614531,0.4306351,0.0002874797],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03761183,0.00333603,0.7565683,0.001729268,0.001343653,0.0007196858,0.06641948,0.11131,0.0209619],"genre_scores_gemma":[0.08466124,0.001554187,0.8261726,0.001742207,0.0002883675,0.002075681,0.06553197,0.007594852,0.01037884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01808541,"threshold_uncertainty_score":0.06050164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02617490119145921,"score_gpt":0.2926249459104717,"score_spread":0.2664500447190125,"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."}}