{"id":"W2076343098","doi":"10.1021/pr050432e","title":"Array of Informatics:  Applications in Modern Research","year":2006,"lang":"en","type":"review","venue":"Journal of Proteome Research","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"DNA microarray; Protein microarray; Microarray; Computational biology; Proteome; Proteomics; Informatics; Human proteome project; Biology; Gene chip analysis; Function (biology); Bioinformatics; Gene; Gene expression; Genetics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004334888,0.0001767312,0.0007289937,0.001005317,0.0001079827,0.00003217366,0.0008192832,0.000410764,0.00000252426],"category_scores_gemma":[0.0002585824,0.0001347122,0.0002811444,0.001095715,0.0003354592,0.000008704283,0.000237228,0.001474064,0.000004474181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001341297,"about_ca_system_score_gemma":0.0009232789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001548031,"about_ca_topic_score_gemma":0.000008987706,"domain_scores_codex":[0.996856,0.0004165494,0.001290138,0.0001910301,0.0008207249,0.0004255481],"domain_scores_gemma":[0.9970877,0.0001479887,0.0006382756,0.0006398704,0.001390854,0.00009526742],"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":[0.00004037492,0.0005286334,0.00001289006,0.01138404,0.0001038845,0.000006426663,0.00007769058,0.00002070975,0.03545761,0.0005887343,0.003563118,0.9482159],"study_design_scores_gemma":[0.0001176287,0.0002808486,0.00000227906,0.002532859,0.00001674717,0.00004626202,0.0000729561,0.000003509214,0.007317109,0.00309212,0.9863915,0.0001261702],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001908522,0.9712496,0.02490233,0.00004135695,0.00001261519,0.002272677,0.00003882079,0.000004282285,0.001287476],"genre_scores_gemma":[0.0004418392,0.973243,0.02525691,0.000001598585,0.0002916828,0.0003005876,0.00006402092,0.00003877789,0.0003616076],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9828284,"threshold_uncertainty_score":0.6404155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1644687736969684,"score_gpt":0.5143515260007199,"score_spread":0.3498827523037515,"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."}}