{"id":"W3032782636","doi":"10.1111/jmi.12932","title":"Segmentation, retardation and mass approximation of birefringent particles on a standard light microscope","year":2020,"lang":"en","type":"article","venue":"Journal of Microscopy","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Polarizer; Microscope; Optics; Birefringence; Polarized light microscopy; Cyan; Materials science; Optical microscope; Interference (communication); Physics; Scanning electron microscope; Computer science","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":[0.0008254081,0.0006400247,0.0003858581,0.001980043,0.0003765185,0.0009615367,0.0006586874,0.0006322959,0.001447361],"category_scores_gemma":[0.001450819,0.0004913482,0.000434284,0.0007217327,0.0005495978,0.0007240566,0.0005576122,0.0007310852,0.0008924259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007553847,"about_ca_system_score_gemma":0.0006649937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002324342,"about_ca_topic_score_gemma":0.003593082,"domain_scores_codex":[0.9994885,0.00004472952,0.00003098861,0.0001363148,0.000250223,0.00004930172],"domain_scores_gemma":[0.9990757,0.0002961453,0.000144573,0.0001446102,0.0003078076,0.00003121715],"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":[0.000149111,0.00002242089,0.001163824,0.0001308024,0.00001514337,0.0001137028,0.0002023656,0.003452991,0.9229881,0.001425765,0.0001701377,0.07016563],"study_design_scores_gemma":[0.00001645566,0.000221888,0.01189915,0.00004002745,0.0000529662,0.0008513912,0.0001429261,0.1148732,0.8639461,0.001403332,0.006485598,0.00006699131],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1840452,0.0006905484,0.8097932,0.00005802782,0.00005163218,0.0001478771,0.0001384955,0.001935904,0.003139132],"genre_scores_gemma":[0.2220653,0.0006379762,0.7732588,0.00003134268,0.00002074868,0.0001050172,0.0002598045,0.0003333678,0.003287663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002324342,"threshold_uncertainty_score":0.005480707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01320403985668412,"score_gpt":0.2259250971754413,"score_spread":0.2127210573187572,"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."}}