{"id":"W2614002001","doi":"","title":"A Diamond Micro-strip Electron Detector for Compton Polarimetry","year":2011,"lang":"en","type":"article","venue":"CNR SOLAR (Scientific Open-access Literature Archive and Repository) (University of Southampton)","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Thomas Jefferson National Accelerator Facility; Natural Sciences and Engineering Research Council of Canada; TRIUMF; U.S. Department of Energy","keywords":"Polarimetry; Diamond; Detector; Electron; Materials science; Optics; Physics; Nuclear physics; 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":[0.001229848,0.0006073018,0.000981385,0.001494158,0.001013259,0.0009552389,0.00200377,0.0009896763,0.02826076],"category_scores_gemma":[0.001423568,0.0006561943,0.0003592079,0.001578967,0.0003922722,0.0008022033,0.0009571704,0.001229374,0.006063163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005854674,"about_ca_system_score_gemma":0.001110803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007765978,"about_ca_topic_score_gemma":0.001861279,"domain_scores_codex":[0.9985626,0.0001296878,0.00005426382,0.0003808569,0.0007478152,0.00012473],"domain_scores_gemma":[0.9978783,0.0005289254,0.0001003296,0.0004423969,0.0009207681,0.0001293255],"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":[0.001329433,0.0002949319,0.01295983,0.0007814384,0.00009217017,0.0007734448,0.0002964592,0.002691743,0.7812169,0.01646669,0.05186308,0.1312338],"study_design_scores_gemma":[0.0002634023,0.0007583603,0.01246446,0.00005503653,0.00009028621,0.001958255,0.0001439936,0.02974239,0.6577778,0.004066081,0.2925301,0.0001499887],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.13891,0.002133907,0.7368317,0.001192644,0.002185958,0.001900551,0.01431605,0.01838797,0.08414125],"genre_scores_gemma":[0.3334277,0.0006864792,0.5957934,0.0008461275,0.0002902755,0.001758966,0.006388063,0.001359583,0.05944942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02826076,"threshold_uncertainty_score":0.09454167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02061504781853741,"score_gpt":0.2397440802776596,"score_spread":0.2191290324591222,"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."}}