{"id":"W3040494869","doi":"10.1017/s1431927600029494","title":"“Casino V2.0 : An Advance Simulation Tool for Scanning Electron Microscope Users”","year":2001,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Scanning electron microscope; Materials science; Electron microscope; Nanotechnology; Computer science; Computer graphics (images); Optics; Physics; Composite material","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":[0.0009133462,0.001117715,0.0008676614,0.0006334734,0.0004924297,0.0008400933,0.002599961,0.0009667497,0.03835819],"category_scores_gemma":[0.001788876,0.0007952107,0.000692652,0.0005451444,0.0002787146,0.001086774,0.0008735816,0.001310497,0.00691739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005507507,"about_ca_system_score_gemma":0.0009041965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002892206,"about_ca_topic_score_gemma":0.003266865,"domain_scores_codex":[0.9997072,0.00006435956,0.00002248713,0.00003395521,0.0001354837,0.00003647538],"domain_scores_gemma":[0.9993228,0.0003191745,0.0000334317,0.00006825142,0.0002021608,0.00005415004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001720584,0.0003468931,0.004414903,0.001844312,0.0003213378,0.000848132,0.0007460291,0.2526592,0.03799906,0.05877579,0.3569722,0.2833516],"study_design_scores_gemma":[0.0002431797,0.00006895284,0.000616225,0.00007527739,0.00004423562,0.0001889065,0.00002994962,0.8030153,0.01735269,0.007286075,0.1709965,0.00008277205],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01883091,0.0003668956,0.7422028,0.0003170952,0.0003481659,0.0003772023,0.006718768,0.2051065,0.02573154],"genre_scores_gemma":[0.1585097,0.0009658959,0.735168,0.0005555377,0.0001495479,0.002398021,0.01924649,0.05159837,0.03140849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03835819,"threshold_uncertainty_score":0.1283209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01123818947140361,"score_gpt":0.3175759005296547,"score_spread":0.3063377110582511,"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."}}