{"id":"W2023284991","doi":"10.1038/nsmb.2682","title":"Tony Pawson 1952–2013","year":2013,"lang":"en","type":"article","venue":"Nature Structural & Molecular Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Royal Society; National Academy of Sciences; Royal Society of Canada","keywords":"Chemistry; Biology; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008870212,0.0003230278,0.0002640457,0.00005896653,0.0001093275,0.00005145944,0.0004381587,0.001089917,0.0002970909],"category_scores_gemma":[0.00004319784,0.0002568515,0.0001829114,0.0001135968,0.0001562491,0.00000748547,0.0002325224,0.0005352536,0.0001275128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001708988,"about_ca_system_score_gemma":0.00004396155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006943567,"about_ca_topic_score_gemma":0.00002403045,"domain_scores_codex":[0.998502,0.00007371805,0.0003166567,0.0004586013,0.0001038063,0.0005452161],"domain_scores_gemma":[0.9990055,0.000006910886,0.0001343143,0.0005491863,0.0001468304,0.000157238],"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":[0.0000463488,0.00001360002,0.0009306348,0.00001966623,0.0001711328,0.000005399616,0.00002965492,0.00006379985,0.930274,0.01662959,0.02652652,0.02528963],"study_design_scores_gemma":[0.005957827,0.001991575,0.01830543,0.00004622145,0.0001435267,0.0004085244,0.0002204822,0.004521729,0.4345666,0.1127393,0.4177892,0.003309574],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9844895,0.004742028,0.005358817,0.001651809,0.0009967419,0.0005261293,0.00003516566,0.00004064303,0.002159167],"genre_scores_gemma":[0.990317,0.00007850121,0.003953827,0.004242416,0.000421496,0.00003394734,0.0005988107,0.00003310996,0.0003208326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4957074,"threshold_uncertainty_score":0.9999884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002094945915444657,"score_gpt":0.2450894296474077,"score_spread":0.2429944837319631,"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."}}