{"id":"W2951713599","doi":"10.82308/23759","title":"Dynamic imaging in a graphene wet cell via scanning electron microscopy","year":2016,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Electron and X-Ray Spectroscopy Techniques","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"McGill University","keywords":"Graphene; Scanning electron microscope; Nanotechnology; Microscopy; Resolution (logic); Materials science; Analytical Chemistry (journal); Chemistry; Physics; Optics; Composite material","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":[0.0001731397,0.0002871696,0.0002097495,0.0003590207,0.0002363863,0.0003900658,0.0005906507,0.0005428867,0.001794014],"category_scores_gemma":[0.0001380586,0.0001982587,0.0001459245,0.0002657155,0.000336974,0.000575594,0.0004008011,0.0004325919,0.0005035998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003578451,"about_ca_system_score_gemma":0.0001790867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005816541,"about_ca_topic_score_gemma":0.001352183,"domain_scores_codex":[0.9998313,0.00001470538,0.00000709308,0.00003042655,0.00009635578,0.00002001421],"domain_scores_gemma":[0.9998913,0.00004022686,0.0000138298,0.00002204536,0.00001958804,0.00001307849],"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":[0.00002688761,0.0000185537,0.0001699215,0.00004289855,0.000004436106,0.0001341707,0.00002862234,0.0007964257,0.9926569,0.001068681,0.0001690816,0.0048835],"study_design_scores_gemma":[0.00001652591,0.0001748347,0.001895312,0.00002078189,0.00001064444,0.000356124,0.00006622965,0.0439666,0.9438969,0.001009293,0.008550202,0.00003647287],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8839399,0.001001361,0.1039031,0.000341409,0.0001424331,0.0001403764,0.0009486816,0.001272019,0.008310742],"genre_scores_gemma":[0.8333067,0.001221579,0.1582677,0.0001391535,0.00004370232,0.0001121043,0.0003895041,0.00004976641,0.006469819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001794014,"threshold_uncertainty_score":0.006001592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006006675863024963,"score_gpt":0.2508402365602037,"score_spread":0.2448335606971787,"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."}}