{"id":"W7092186819","doi":"10.5281/zenodo.15741760","title":"Characterization of WSe2 films using reflection Kikuchi diffraction in the scanning electron microscope and multivariate statistical analyses","year":2025,"lang":"","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"2D Materials and Applications","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Reflection (computer programming); Scanning electron microscope; Characterization (materials science); Diffraction; Electron diffraction; Microscope; Electron microscope; Bundle","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001668498,0.0003450504,0.0004853992,0.0005494298,0.002545577,0.001695368,0.0009777191,0.0002193136,0.003358633],"category_scores_gemma":[0.0007902939,0.0003179679,0.00005115467,0.001175304,0.0003439403,0.00045582,0.0009257855,0.0004654595,0.0001308152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002186422,"about_ca_system_score_gemma":0.00002827547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006605071,"about_ca_topic_score_gemma":0.00000473543,"domain_scores_codex":[0.9956912,0.001571747,0.0009132423,0.0008335407,0.0004799163,0.0005103429],"domain_scores_gemma":[0.9978511,0.0001196647,0.0007394628,0.0006905323,0.0005017765,0.00009746466],"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":[0.0002022825,0.0002982163,7.799061e-7,0.0004214798,0.00003193069,0.000004682833,0.0004444402,0.00009232842,0.9727433,0.0003696192,0.02379007,0.001600882],"study_design_scores_gemma":[0.001302582,0.0006421948,0.003355565,0.0008402398,0.0004144504,0.0001864613,0.0006868775,0.003575153,0.1368186,0.0001651625,0.8512713,0.0007414009],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.5919504,0.0001003721,0.02406662,0.0003173384,0.0004616284,0.002248334,0.3800803,0.0001683327,0.000606729],"genre_scores_gemma":[0.3181963,0.0009183506,0.0015363,0.0001324236,0.0002564339,8.846894e-7,0.6783632,0.0005163713,0.00007970259],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.8359246,"threshold_uncertainty_score":0.9999272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06775293963968113,"score_gpt":0.3617552358122617,"score_spread":0.2940022961725806,"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."}}