{"id":"W2904807799","doi":"10.5566/ias.1690","title":"SPOT DETECTION METHODS IN FLUORESCENCE MICROSCOPY IMAGING: A REVIEW","year":2018,"lang":"en","type":"review","venue":"Image Analysis & Stereology","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Society of Intestinal Research","funders":"National Research Foundation","keywords":"Microscopy; Fluorescence microscope; Computer science; Benchmark (surveying); Tracking (education); Artificial intelligence; Fluorescence-lifetime imaging microscopy; Computer vision; Fluorescence; Optics; Physics; Cartography; Geography","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"],"consensus_categories":[],"category_scores_codex":[0.002006008,0.0008385695,0.00357931,0.001374032,0.00007857911,0.0000735943,0.001100331,0.0005611791,0.0002762066],"category_scores_gemma":[0.0005597536,0.0007626145,0.002476616,0.002788953,0.000469531,0.00001690916,0.0006489487,0.0005274855,0.0001172549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001192188,"about_ca_system_score_gemma":0.0001800268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001749942,"about_ca_topic_score_gemma":0.0005292062,"domain_scores_codex":[0.9934814,0.002151343,0.001689069,0.001802968,0.0001924957,0.0006827155],"domain_scores_gemma":[0.9960967,0.00009707711,0.001046345,0.002290256,0.0003378394,0.0001317732],"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":[0.00001329761,0.0000939707,0.000111279,0.005841681,0.002135195,0.00007646761,0.000008861744,5.530788e-8,0.02488084,7.139649e-7,0.004462197,0.9623755],"study_design_scores_gemma":[0.000114933,0.00007787513,0.00001344381,0.002717073,0.01461167,0.0001150712,0.000004353652,0.00003660249,0.01650757,0.0000142711,0.9650733,0.0007138706],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001149286,0.9454406,0.05299516,0.0000304686,0.0000510883,0.0006490282,0.00001114358,0.0000479452,0.0007630347],"genre_scores_gemma":[0.00001932055,0.9568492,0.0405998,0.0004631592,0.0002256485,0.0002711628,0.000786668,0.00009085493,0.0006942337],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9616616,"threshold_uncertainty_score":0.9994825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01963263380779308,"score_gpt":0.4225893686084034,"score_spread":0.4029567348006103,"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."}}