{"id":"W4220728146","doi":"10.1111/jmi.13099","title":"Simple automation of SEM‐EDS spectral maps analysis with Python and the edxia framework","year":2022,"lang":"en","type":"article","venue":"Journal of Microscopy","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Python (programming language); Workflow; Computer science; Automation; Simple (philosophy); Cluster analysis; Spectral clustering; Software engineering; User Friendly; Computational science; Programming language; Database; Artificial intelligence; Engineering; Mechanical engineering","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":[0.002684821,0.00210469,0.001240914,0.00163627,0.001164642,0.002678647,0.002532231,0.0007753075,0.01766229],"category_scores_gemma":[0.004786089,0.001339304,0.002449784,0.0012677,0.001172666,0.002630678,0.003550388,0.003078517,0.01132181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009293738,"about_ca_system_score_gemma":0.002493294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003737472,"about_ca_topic_score_gemma":0.004687606,"domain_scores_codex":[0.9984391,0.0001799483,0.0001414005,0.0004710724,0.0005526494,0.0002158276],"domain_scores_gemma":[0.998253,0.0005843967,0.0001104752,0.0005202368,0.000414522,0.0001173865],"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":[0.002028141,0.0005719265,0.01301038,0.004223878,0.001024685,0.001820608,0.003099276,0.03570903,0.1639839,0.06015156,0.2669874,0.4473893],"study_design_scores_gemma":[0.0002665342,0.00009545639,0.01324823,0.0004154255,0.000150447,0.001217472,0.0004628462,0.2108403,0.1910658,0.07939254,0.5022534,0.0005916125],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.005837544,0.0001664811,0.719431,0.0003007809,0.0001521302,0.0002122576,0.007213607,0.2620799,0.004606218],"genre_scores_gemma":[0.0633624,0.0004104304,0.8399449,0.0007981636,0.0000743186,0.001312342,0.01847549,0.06701811,0.008603832],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.01766229,"threshold_uncertainty_score":0.05908626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005570219158931283,"score_gpt":0.2424835303828086,"score_spread":0.2369133112238774,"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."}}