{"id":"W7765869","doi":"10.4028/www.scientific.net/msf.366-368.667","title":"9.3 Scanning Local Acceleration Microscopy: SLAM","year":2001,"lang":"en","type":"article","venue":"Materials science forum","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Acceleration; Microscopy; Computer vision; Optics; Physics; Computer science; Classical mechanics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001440964,0.000249836,0.0002903102,0.0002286173,0.0008216292,0.001012133,0.000895304,0.00009323249,0.002238895],"category_scores_gemma":[0.00006207373,0.0002190716,0.00004129022,0.000642923,0.0008953402,0.001341864,0.0002443588,0.00009241125,0.0005619319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002560256,"about_ca_system_score_gemma":0.0002565572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002302568,"about_ca_topic_score_gemma":0.00005396689,"domain_scores_codex":[0.9970391,0.00006250391,0.0004264619,0.0006836086,0.0005972923,0.001191068],"domain_scores_gemma":[0.9990172,0.0000179097,0.0001690736,0.0004811159,0.0001491471,0.0001655587],"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":[0.00004240877,0.00003635618,0.0002728362,0.000006257012,8.093771e-7,0.000007081515,0.00009039303,0.00001051266,0.9928384,0.004891521,0.001211638,0.0005917753],"study_design_scores_gemma":[0.0001595152,0.000229387,0.0004815534,0.0000337706,0.000004975573,0.00004944089,0.0001344005,0.00009124989,0.9920308,0.001906768,0.004602235,0.0002759057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9729977,0.0000589769,0.02040025,0.0009309714,0.001172535,0.0003208828,0.00001264385,0.0005502034,0.003555842],"genre_scores_gemma":[0.9912333,0.00003175166,0.00726306,0.0007061159,0.0001601746,0.00005672828,0.000007743358,0.00002681576,0.0005143174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0182356,"threshold_uncertainty_score":0.9986732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309408906134816,"score_gpt":0.2985917038328645,"score_spread":0.2854976147715163,"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."}}