{"id":"W2884134353","doi":"10.1017/s1431927602106143","title":"Development of a Simulation Tool for “Real World” SEM Applications","year":2002,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Library science; Volume (thermodynamics); Engineering physics; Art history; History; Materials science; Art; Computer science; Engineering; Physics; Thermodynamics","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":[],"consensus_categories":[],"category_scores_codex":[0.0002337894,0.0001368274,0.0002642367,0.0001810019,0.0002198018,0.0000523084,0.0001352977,0.00005121526,0.0002996921],"category_scores_gemma":[0.000006771986,0.0001296166,0.00008141564,0.0003174376,0.00006869916,0.00009169737,0.00003366453,0.00004464395,0.0000171248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005724166,"about_ca_system_score_gemma":0.00002341615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001993386,"about_ca_topic_score_gemma":0.0001399738,"domain_scores_codex":[0.9989665,0.00002014931,0.0003823899,0.0003024282,0.00009035972,0.000238162],"domain_scores_gemma":[0.999451,0.00006085459,0.0001542132,0.0002095207,0.0000832914,0.00004108073],"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":[0.00001735942,0.00007824953,0.00027624,0.00003930266,0.0000281667,7.703004e-8,0.0003698598,0.00003127733,0.9930619,0.0003527489,0.0002209393,0.005523866],"study_design_scores_gemma":[0.0001851377,0.00002769533,0.0001293648,0.00001218626,0.00009096435,4.260386e-7,0.00002515852,0.00107801,0.9665408,0.000149855,0.03161335,0.0001470707],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.67224,0.0005024316,0.326145,0.00005580592,0.00001736034,0.0004846895,0.00003516012,0.00009613711,0.0004233741],"genre_scores_gemma":[0.7617122,0.0000908689,0.236409,0.00006415389,0.00002930926,0.0001700352,0.00002453071,0.00001425536,0.001485672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08973601,"threshold_uncertainty_score":0.5285614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595084411740375,"score_gpt":0.3033924554324681,"score_spread":0.2874416113150643,"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."}}