{"id":"W2760028537","doi":"10.1373/clinchem.2017.277087","title":"At the Intersection of Proteomics and Big Data Science","year":2017,"lang":"en","type":"article","venue":"Clinical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital; Providence Health Care; University of British Columbia","funders":"","keywords":"Intersection (aeronautics); Proteomics; Computational biology; Data science; Computer science; Chemistry; Biology; Geography; Biochemistry; Cartography","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":[0.02076777,0.001260219,0.002504373,0.005067828,0.002724966,0.01849848,0.002894062,0.007604344,0.008187132],"category_scores_gemma":[0.02404741,0.0009743051,0.001256239,0.007493691,0.01140041,0.03659277,0.009586222,0.01339717,0.003928785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002869619,"about_ca_system_score_gemma":0.004819655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001054293,"about_ca_topic_score_gemma":0.000729438,"domain_scores_codex":[0.9861389,0.005168973,0.0006692345,0.002017237,0.005177064,0.0008285511],"domain_scores_gemma":[0.9617786,0.02460533,0.001441312,0.004841663,0.003632908,0.003700217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002167031,0.0001348876,0.002348592,0.001787446,0.0002183674,0.0004758235,0.0009557133,0.001509069,0.001537511,0.7170976,0.1059873,0.1677311],"study_design_scores_gemma":[0.00001618719,0.00004773004,0.0008844036,0.0005455542,0.00002411254,0.0002692123,0.0006717166,0.00210508,0.0004799599,0.7369486,0.2579483,0.00005920237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.00638488,0.1840606,0.198983,0.536299,0.01539046,0.0001615384,0.001072753,0.001842939,0.0558047],"genre_scores_gemma":[0.1933323,0.3213429,0.2277172,0.1591247,0.07157142,0.0005204656,0.002136446,0.001212167,0.02304251],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02076777,"threshold_uncertainty_score":0.1098318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1534970703781003,"score_gpt":0.4264981652986469,"score_spread":0.2730010949205466,"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."}}