{"id":"W2157676453","doi":"10.1017/s1431927602107227","title":"Microscope or MACROscope – Which System Provides a Better Scope on Image Analysis??","year":2002,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; Ontario Institute for Cancer Research","funders":"","keywords":"Scope (computer science); Microscope; Materials science; Image (mathematics); Computer science; Computer vision; Optics; Physics","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":[0.001737282,0.0006208165,0.001381169,0.001467337,0.00093437,0.001193248,0.0007946744,0.001468072,0.05522607],"category_scores_gemma":[0.00281376,0.0007926033,0.0005132889,0.0007258136,0.001316269,0.002193377,0.0006768694,0.002498847,0.01733062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005671094,"about_ca_system_score_gemma":0.0009245437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001180045,"about_ca_topic_score_gemma":0.003101631,"domain_scores_codex":[0.9990846,0.0001840482,0.00008469033,0.0001227213,0.0004508793,0.00007303688],"domain_scores_gemma":[0.9980831,0.0003235319,0.0001553674,0.0002566176,0.0008946199,0.0002867701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005777588,0.0001123015,0.001453604,0.001750828,0.0001071255,0.000638783,0.0001258091,0.000159626,0.1841446,0.01560371,0.5490714,0.2462544],"study_design_scores_gemma":[0.0003169844,0.0002030047,0.01153785,0.0004472546,0.0002172291,0.004634421,0.0004110702,0.004388428,0.1271449,0.01375031,0.8367161,0.0002324626],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04548711,0.05433496,0.4969718,0.1235339,0.03020442,0.0009965562,0.007665909,0.0320328,0.2087726],"genre_scores_gemma":[0.09056243,0.02490686,0.6913608,0.01759074,0.005926648,0.000724716,0.003354607,0.00811873,0.1574545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05522607,"threshold_uncertainty_score":0.1847496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063255712389883,"score_gpt":0.2695034017447056,"score_spread":0.2588708446208068,"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."}}