{"id":"W2111199151","doi":"10.1109/tip.2005.860618","title":"Real-time processing and compression of DNA microarray images","year":2006,"lang":"en","type":"article","venue":"IEEE Transactions on Image Processing","topic":"Gene expression and cancer classification","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Pipeline (software); Computer science; Bottleneck; Image processing; Scalability; Image compression; Modular design; Data compression; Software; Process (computing); Image (mathematics); Embedded system; Computer hardware; Artificial intelligence","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":[0.0001900201,0.0003998297,0.0002335779,0.0003902495,0.000155918,0.0003344501,0.000507055,0.0003611011,0.002872177],"category_scores_gemma":[0.0005064928,0.0001732033,0.0002133376,0.0004587371,0.0002538641,0.0006568913,0.0002693176,0.0003378422,0.000969996],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000248865,"about_ca_system_score_gemma":0.0003210405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004408974,"about_ca_topic_score_gemma":0.0005952989,"domain_scores_codex":[0.9998498,0.00001470562,0.000007735745,0.00003583186,0.0000719153,0.00001999678],"domain_scores_gemma":[0.9998406,0.00005524345,0.00002036101,0.00003180043,0.00004179075,0.00001009172],"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":[0.0002729335,0.00003802174,0.0002616456,0.0001787782,0.00001157101,0.0001710904,0.00008927762,0.003711535,0.8253581,0.00302484,0.001468858,0.1654133],"study_design_scores_gemma":[0.00004505682,0.0004375931,0.002433543,0.00002479743,0.00002846407,0.0007890829,0.00006539107,0.08285467,0.8879856,0.002771885,0.02253031,0.00003358431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09209733,0.001145913,0.8988853,0.00035084,0.0001937088,0.0001680861,0.0003942528,0.002546964,0.004217535],"genre_scores_gemma":[0.3088595,0.001806683,0.6780702,0.0002182251,0.0001234717,0.0002728598,0.001157424,0.0001503788,0.009341189],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002872177,"threshold_uncertainty_score":0.009608388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00756557156478529,"score_gpt":0.2501640025643159,"score_spread":0.2425984309995306,"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."}}