{"id":"W1494578565","doi":"10.1002/0471263397.env042","title":"Image Analysis of Microorganisms","year":2003,"lang":"en","type":"other","venue":"Encyclopedia of Environmental Microbiology","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Thresholding; Computer vision; Artificial intelligence; Computer science; Image processing; Digital image processing; Binary image; Sampling (signal processing); Image segmentation; Digital image; Image analysis; Segmentation; Computer graphics (images); Image (mathematics); Pattern recognition (psychology)","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":[0.0003197705,0.0008703036,0.000554827,0.002099756,0.0004009152,0.0008305918,0.0004621868,0.0004164607,0.00947972],"category_scores_gemma":[0.0004462513,0.0002398812,0.0005456522,0.001105363,0.0001953196,0.00047821,0.000460474,0.0007181105,0.006825538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003953972,"about_ca_system_score_gemma":0.000446068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008911136,"about_ca_topic_score_gemma":0.0009943637,"domain_scores_codex":[0.9995939,0.00003205129,0.00003007296,0.0001242966,0.0001727955,0.00004699742],"domain_scores_gemma":[0.9997466,0.00002701843,0.0000230651,0.00004137151,0.0001405379,0.00002132952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001189013,0.00002684428,0.0005306731,0.0003072902,0.00001645929,0.0001182976,0.00006708353,0.0002015288,0.9144659,0.0005937914,0.00301758,0.08053562],"study_design_scores_gemma":[0.00001151168,0.0001028797,0.005225861,0.00005256428,0.00004183873,0.0004764153,0.00007011589,0.004523275,0.9407023,0.0004729017,0.04830199,0.00001836266],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1740243,0.005313521,0.7237466,0.0008270731,0.0005738491,0.001163624,0.02187361,0.02226624,0.05021115],"genre_scores_gemma":[0.182962,0.004536618,0.7426044,0.0004779955,0.00008283101,0.001325125,0.02590354,0.002194399,0.03991309],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00947972,"threshold_uncertainty_score":0.03171289,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001799729216157709,"score_gpt":0.1997800856198164,"score_spread":0.1979803564036587,"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."}}