{"id":"W49896968","doi":"","title":"Application of neural networks to the segmentation of microscopy images","year":2004,"lang":"en","type":"book","venue":"Nova Science Publishers, Inc. eBooks","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Segmentation; Artificial intelligence; Computer science; Computer vision; Artificial neural network; Feature (linguistics); Pattern recognition (psychology); Image segmentation; Projection (relational algebra); Relation (database); Data mining; Algorithm","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":[0.0008754896,0.0002303634,0.0002646712,0.0002551682,0.0001079419,0.0002124101,0.001333276,0.0002212998,0.00001335728],"category_scores_gemma":[0.00008603914,0.0001893388,0.0001314738,0.0002573791,0.001008825,0.00003439753,0.0004357582,0.0001958262,0.000001579322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001566111,"about_ca_system_score_gemma":0.0009348043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001907049,"about_ca_topic_score_gemma":0.00009767007,"domain_scores_codex":[0.9981076,0.00002992362,0.000487452,0.0006114191,0.0004824943,0.000281162],"domain_scores_gemma":[0.9976677,0.00001420488,0.0005336723,0.0009961824,0.0007067373,0.00008146311],"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":[0.00002415844,0.00002607992,0.00007112695,0.0000337163,0.0000342781,4.19502e-7,0.00009803232,0.0005916717,0.9196777,0.00007463014,0.05274674,0.02662143],"study_design_scores_gemma":[0.0001710069,0.0002020057,0.0001102077,0.00003425699,0.00007752811,0.000004982518,0.00005958959,0.0004513937,0.9469367,0.0002144122,0.05145593,0.0002819943],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0149106,0.001117601,0.3281126,0.0006422878,0.0005754101,0.004479228,0.0001115006,0.0001220334,0.6499287],"genre_scores_gemma":[0.8126429,0.00003377136,0.01591671,0.001795861,0.0007638902,0.0002236125,0.001302169,0.0001213555,0.1671997],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7977323,"threshold_uncertainty_score":0.7721013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008400917725411381,"score_gpt":0.2798887621688787,"score_spread":0.2714878444434673,"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."}}