{"id":"W2006426437","doi":"10.1017/s1431927611006751","title":"A to Z of Technology - Software for Better Results with Faster Sensors","year":2011,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Oxford Instruments (Canada)","funders":"","keywords":"Microanalysis; Software; Materials science; Computer science; Engineering; Chemistry; Operating system","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":[0.001221565,0.001983859,0.000669733,0.002192629,0.0005695308,0.002421264,0.001488246,0.001381102,0.184113],"category_scores_gemma":[0.008422788,0.0007923133,0.001107852,0.00120373,0.0004177914,0.002625698,0.002151744,0.00193924,0.06070762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004853672,"about_ca_system_score_gemma":0.0009428737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001603126,"about_ca_topic_score_gemma":0.001669544,"domain_scores_codex":[0.9988773,0.0001339661,0.0001281112,0.000290363,0.0004665064,0.0001036224],"domain_scores_gemma":[0.9972008,0.0008678061,0.0001388567,0.0006810189,0.001019884,0.00009170196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001322167,0.000270591,0.003926702,0.00116981,0.0002942747,0.0004957258,0.0006471577,0.008804053,0.09407298,0.02117576,0.3239248,0.5438959],"study_design_scores_gemma":[0.0004101302,0.0001868116,0.005092706,0.0002387607,0.0001433713,0.0007229363,0.0001837078,0.1863674,0.2183198,0.0161714,0.5719241,0.0002387286],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008914618,0.0002892856,0.6563606,0.0007621975,0.001505035,0.0003630583,0.0064785,0.2948046,0.03052209],"genre_scores_gemma":[0.1392702,0.0005158449,0.6202606,0.001662456,0.0004102662,0.002032785,0.01358638,0.112897,0.1093644],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.184113,"threshold_uncertainty_score":0.6159194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01181458030683319,"score_gpt":0.2560145238242589,"score_spread":0.2441999435174257,"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."}}