{"id":"W2742565665","doi":"10.1017/s1431927617008236","title":"Analysis of Amorphous-to-crystalline Germanium Stack with Cs-corrected Analytical STEM","year":2017,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"solar cell performance optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Stack (abstract data type); Germanium; Materials science; Amorphous solid; Engineering physics; Analytical Chemistry (journal); Optoelectronics; Crystallography; Chemistry; Engineering; Computer science; Chromatography; 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":[0.0001257955,0.0003945262,0.0001299587,0.0005986728,0.0002391124,0.0003234128,0.0003135037,0.0003049864,0.001578604],"category_scores_gemma":[0.0001439591,0.000182218,0.0002307341,0.0004049896,0.0001619968,0.0004708641,0.0001805518,0.0002228339,0.0001716516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003971838,"about_ca_system_score_gemma":0.000242377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002107398,"about_ca_topic_score_gemma":0.003937333,"domain_scores_codex":[0.999934,0.000003867647,0.00000349964,0.00001793258,0.00002868749,0.00001202575],"domain_scores_gemma":[0.9999189,0.00001239912,0.00001384024,0.000008383681,0.00004250879,0.000003947479],"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":[0.00003777484,0.000005732113,0.0006243802,0.00003742112,0.000009592209,0.00004738293,0.00002343953,0.0002445594,0.9952167,0.0002236985,0.000130873,0.003398404],"study_design_scores_gemma":[0.000002826399,0.00002635231,0.005196,0.000003679604,0.00001774765,0.00008337946,0.00005563266,0.00523889,0.9878083,0.00007460677,0.001484572,0.000008009907],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.978208,0.0006586629,0.0154188,0.0001097885,0.00003090073,0.00002055461,0.0009703431,0.0004520209,0.004131005],"genre_scores_gemma":[0.9849332,0.0004232572,0.01209591,0.00003708408,0.000006590546,0.00001384946,0.0006135813,0.00008042109,0.001796083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002107398,"threshold_uncertainty_score":0.005280912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00858414489077932,"score_gpt":0.2357443080194832,"score_spread":0.2271601631287038,"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."}}