{"id":"W4401742466","doi":"10.1016/j.ultramic.2024.114035","title":"Differential phase contrast STEM image calculation software – Magnifier","year":2024,"lang":"en","type":"article","venue":"Ultramicroscopy","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Research Council Canada; Russian Science Foundation","keywords":"Phase contrast microscopy; Contrast (vision); Software; Scanning transmission electron microscopy; Computer science; Differential (mechanical device); Phase (matter); Image contrast; Optics; Transmission (telecommunications); Transmission electron microscopy; Materials science; Artificial intelligence; Physics; Operating system; Telecommunications","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001043276,0.001904502,0.001346787,0.002014983,0.001345628,0.00194967,0.002506106,0.001486048,0.08882973],"category_scores_gemma":[0.00118885,0.002062573,0.0007012128,0.001405373,0.0005886388,0.002491885,0.0009988791,0.003099091,0.01420079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007699372,"about_ca_system_score_gemma":0.001366346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000911481,"about_ca_topic_score_gemma":0.002735822,"domain_scores_codex":[0.9995597,0.000029335,0.00005837166,0.0001806376,0.0001189235,0.0000530272],"domain_scores_gemma":[0.9991938,0.0002253685,0.00005955128,0.0001377221,0.0003476192,0.00003593919],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007224267,0.0004136266,0.003002913,0.002746608,0.0001685941,0.0004788543,0.000900926,0.004844372,0.6962717,0.02677318,0.06219668,0.2014801],"study_design_scores_gemma":[0.0001718343,0.0001642556,0.004655051,0.0001527127,0.0002666688,0.001704215,0.0002484296,0.1386796,0.6681606,0.006698483,0.1788546,0.0002436289],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.08202506,0.0004673474,0.7899754,0.0005442622,0.0003763435,0.0007640623,0.01496242,0.08283502,0.02805016],"genre_scores_gemma":[0.074332,0.0005810627,0.8685735,0.0003751698,0.0000706203,0.002120699,0.01097022,0.0241005,0.0188763],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.08882973,"threshold_uncertainty_score":0.297165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009030975257971929,"score_gpt":0.3010576735306663,"score_spread":0.2920266982726944,"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."}}