{"id":"W2299276272","doi":"10.1074/mcp.e110.007468","title":"Technology Development: an Overview","year":2010,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Proteomics; Computational biology; Data science; Proteome; Human proteome project; Computer science; Chemistry; Nanotechnology; Library science; 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":[0.004361168,0.002293715,0.00129384,0.006756366,0.0009478073,0.005914575,0.00201901,0.003827473,0.005570271],"category_scores_gemma":[0.002959651,0.0009080954,0.0009164679,0.006168606,0.001311652,0.008327623,0.002545168,0.003276443,0.006410208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002606662,"about_ca_system_score_gemma":0.003433017,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001641843,"about_ca_topic_score_gemma":0.0009812588,"domain_scores_codex":[0.9978548,0.0004175268,0.0002476084,0.0003296356,0.0009493175,0.0002010066],"domain_scores_gemma":[0.9980415,0.0009660953,0.0001606406,0.00007691742,0.000556156,0.0001986376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001070109,0.0002191219,0.001052171,0.009282148,0.00007001059,0.0005122253,0.0002108266,0.001338152,0.002686356,0.02998091,0.03684914,0.9176919],"study_design_scores_gemma":[0.00001764437,0.0002356152,0.0009321404,0.004135014,0.0000471547,0.001532613,0.0002189945,0.0005770028,0.001437754,0.0178621,0.9729518,0.00005205978],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001085185,0.960581,0.009911211,0.004484305,0.001326064,0.0001446615,0.0001203134,0.0001661291,0.02218105],"genre_scores_gemma":[0.003562298,0.9804996,0.00935857,0.001727786,0.0007308573,0.0001504365,0.0001967825,0.00003026345,0.00374349],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006756366,"threshold_uncertainty_score":0.02306432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01316782805207277,"score_gpt":0.2570641423441806,"score_spread":0.2438963142921079,"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."}}