{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009889781,0.0003310702,0.0007704145,0.0004445603,0.00001237883,0.000002093819,0.0003497885,0.0005672087,0.005556046],"category_scores_gemma":[0.00001791957,0.0003380741,0.0004784137,0.0001987735,0.0005151044,0.000001418637,0.000204583,0.0001071986,0.0000357955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000201028,"about_ca_system_score_gemma":0.00002346529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004896136,"about_ca_topic_score_gemma":0.0000779322,"domain_scores_codex":[0.9985831,0.0001153459,0.0004592539,0.0005561795,0.00005519188,0.0002309674],"domain_scores_gemma":[0.9986042,0.00001019119,0.000561818,0.0007707822,0.000008138125,0.00004485076],"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":[0.000008378835,0.0001495277,0.001173706,0.00001925075,0.001734505,0.00000221679,0.000009085315,4.207378e-7,0.8265669,0.000001555497,0.1701508,0.0001836538],"study_design_scores_gemma":[0.0001546528,0.0001222695,0.000307391,0.000008085023,0.001288069,0.000006140446,0.00001786213,2.942598e-7,0.4047583,0.000002361952,0.5930822,0.0002523214],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.06075295,0.01037049,0.001636714,0.00001239443,0.0001468261,0.0006623901,0.002272628,0.00004609985,0.9240995],"genre_scores_gemma":[0.03220492,0.03099078,0.02700011,0.0002611734,0.0002111553,0.00003606758,0.01180483,0.0008076815,0.8966833],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4229314,"threshold_uncertainty_score":0.9999071,"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."}}