{"id":"W4313217824","doi":"","title":"VPHGs for WEAVE: design, manufacturing and characterization","year":2018,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Astronomy and Astrophysical Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"","keywords":"Characterization (materials science); Computer science; Engineering; Manufacturing engineering; Materials science; Nanotechnology","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":[0.001012555,0.0008250838,0.0006192251,0.001034738,0.0006283467,0.001554957,0.002015254,0.001114419,0.006664804],"category_scores_gemma":[0.001813096,0.0004747504,0.0005699467,0.0009034386,0.0007293414,0.001370729,0.000988838,0.0006996918,0.002087552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101038,"about_ca_system_score_gemma":0.001181461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001531785,"about_ca_topic_score_gemma":0.002666413,"domain_scores_codex":[0.9987044,0.00008376682,0.00005708469,0.0002022744,0.0007870189,0.0001653892],"domain_scores_gemma":[0.9977344,0.0002402354,0.0002998698,0.0005909923,0.0008987576,0.0002357511],"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":[0.0003898646,0.0003193376,0.004701013,0.0009538899,0.0001382548,0.0008149616,0.00110709,0.01751524,0.807694,0.009230388,0.01944854,0.1376875],"study_design_scores_gemma":[0.00007759351,0.001680768,0.006120234,0.0001119372,0.0001229361,0.001183334,0.0004051426,0.02626183,0.8395215,0.001845005,0.1224972,0.0001726117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5660058,0.003856882,0.3773811,0.001094455,0.002121696,0.001045647,0.003211542,0.01342173,0.0318612],"genre_scores_gemma":[0.8399941,0.001016327,0.1298292,0.0002542886,0.000118348,0.0005131794,0.001460326,0.001333586,0.02548061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006664804,"threshold_uncertainty_score":0.02229601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01359834247919051,"score_gpt":0.2405232675122174,"score_spread":0.2269249250330269,"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."}}