{"id":"W2401984204","doi":"10.1089/omi.2016.0032","title":"Knowledge Translation: Moving Proteomics Science to Innovation in Society","year":2016,"lang":"en","type":"article","venue":"OMICS A Journal of Integrative Biology","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Canadian Institutes of Health Research; Australian Government","keywords":"Proteomics; Knowledge management; Translation (biology); Data science; Engineering ethics; Computer science; Political science; Sociology; Biology; Engineering; Genetics; Gene","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001618935,0.0001220677,0.0001921494,0.0003135001,0.00005576075,0.00002143983,0.0003936712,0.000154875,0.000008200296],"category_scores_gemma":[0.001552859,0.00006806096,0.00008260507,0.0005688475,0.0005060183,0.00001497987,0.0001010447,0.0001580717,0.000006097918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001121683,"about_ca_system_score_gemma":0.0007549886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003185822,"about_ca_topic_score_gemma":0.00002577278,"domain_scores_codex":[0.9987401,0.00005730225,0.0006148473,0.000172249,0.00013824,0.0002772528],"domain_scores_gemma":[0.9984691,0.00006292418,0.0002228877,0.0001300534,0.001010953,0.000104083],"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":[0.0001142583,0.00004214948,0.001330019,0.000006054693,0.00001739066,4.013455e-7,0.0006719973,0.000001854597,0.9338171,0.0009354947,0.0002732766,0.06278997],"study_design_scores_gemma":[0.001132598,0.001621843,0.001591562,0.0001055754,0.000004347799,0.00002501757,0.0008371717,0.000209385,0.9675961,0.001291354,0.02540694,0.0001781769],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.864891,0.0001982618,0.132199,0.001585352,0.0002553022,0.0002016875,0.00001681065,0.000001808908,0.0006507592],"genre_scores_gemma":[0.9685777,0.0005027447,0.03028265,0.0002460025,0.000233766,0.00000655349,0.000006446654,0.000007477203,0.0001366051],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1036867,"threshold_uncertainty_score":0.2775445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03952385499309151,"score_gpt":0.3474752112108594,"score_spread":0.3079513562177679,"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."}}