{"id":"W2920833540","doi":"10.1017/s1551929519000026","title":"Management, Analysis, and Simulation of Micrographs with Cloud Computing","year":2019,"lang":"en","type":"article","venue":"Microscopy Today","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"Automotive Fuel Cell Cooperation (Canada)","funders":"","keywords":"Cloud computing; Micrograph; Computer science; Materials science; Computer graphics (images); Operating system; 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":[0.0008152013,0.0006621677,0.0004856354,0.0006660082,0.0009648495,0.001631936,0.001653331,0.000715723,0.003153483],"category_scores_gemma":[0.002796345,0.0003838496,0.0006895702,0.0008904316,0.0005196309,0.001017304,0.0008201267,0.0006678648,0.0005103623],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001322403,"about_ca_system_score_gemma":0.002265383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02271916,"about_ca_topic_score_gemma":0.01909713,"domain_scores_codex":[0.9995661,0.00009623188,0.00003746164,0.00009243592,0.0001343466,0.00007352281],"domain_scores_gemma":[0.9981282,0.0008652808,0.0001488995,0.0003600909,0.0003312552,0.0001663381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007820556,0.0003441939,0.02277173,0.0001391916,0.0001125981,0.0004800449,0.0002424925,0.9044055,0.009356999,0.006549464,0.005774912,0.04904079],"study_design_scores_gemma":[0.00001698758,0.00001662102,0.0008638041,0.000002738241,0.000007026845,0.00002215326,0.00003466561,0.9944921,0.002500487,0.001398265,0.0006394337,0.000005628143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5405818,0.0004671249,0.4305325,0.001413906,0.0002781931,0.0003683721,0.002657373,0.01540129,0.008299388],"genre_scores_gemma":[0.9026881,0.0001964015,0.09364609,0.0001128141,0.00004589632,0.0001359242,0.001385687,0.0003332581,0.001455781],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02271916,"threshold_uncertainty_score":0.04517382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04500624072573308,"score_gpt":0.3587634838371366,"score_spread":0.3137572431114036,"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."}}