{"id":"W2066652500","doi":"10.1109/icma.2013.6617920","title":"Robust autofocusing in microscopy using particle swarm optimization","year":2013,"lang":"en","type":"article","venue":"","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Particle swarm optimization; Lens (geology); Computer science; Position (finance); Artificial intelligence; Depth of field; Computer vision; Algorithm; Optics; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008544116,0.000610581,0.0007078673,0.0004978098,0.0003101226,0.0005572323,0.0006592627,0.0008560071,0.0005288442],"category_scores_gemma":[0.001300617,0.0004347569,0.0005330957,0.0003902348,0.0005903307,0.0005606156,0.0006943567,0.0006139709,0.0001841607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004625048,"about_ca_system_score_gemma":0.0006419123,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002345524,"about_ca_topic_score_gemma":0.001629341,"domain_scores_codex":[0.9996847,0.00008596395,0.00001407046,0.0000618363,0.0001322283,0.00002113802],"domain_scores_gemma":[0.9996058,0.0002237949,0.00005411741,0.00003137167,0.00006832142,0.00001665835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001027517,0.00005426016,0.0004804457,0.00009393266,0.00007025208,0.00005592844,0.0001123604,0.8781404,0.0280465,0.009220735,0.0005387118,0.0830839],"study_design_scores_gemma":[0.000006611373,0.00002372327,0.0001039251,0.000002872139,0.000002915697,0.00001274757,0.000003653902,0.9967919,0.001840032,0.0008580468,0.0003489662,0.000004653679],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01645344,0.0001787881,0.9822639,0.00005015654,0.00001598542,0.0000254812,0.000009114093,0.0002032119,0.0007999857],"genre_scores_gemma":[0.3412017,0.0002815482,0.6561322,0.00005400903,0.00003061993,0.000152697,0.00006648053,0.00009873568,0.001981945],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002345524,"threshold_uncertainty_score":0.004663706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02486309464368124,"score_gpt":0.2537342047770842,"score_spread":0.228871110133403,"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."}}