{"id":"W3110266789","doi":"","title":"Homogeneity of neutron transmission imaging over a large sensitive area with a four-channel superconducting detector","year":2020,"lang":"en","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Homogeneity (statistics); Detector; Physics; Image resolution; Neutron imaging; Neutron; Optics; Linearity; Materials science; Charged particle; Neutron detection; Nuclear physics; Computer science; Ion","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":[0.0005076586,0.0002608951,0.0002519534,0.0005024612,0.0001832217,0.0005480842,0.0003525774,0.0002786352,0.0007031105],"category_scores_gemma":[0.0006284851,0.000352012,0.0001460743,0.0002164873,0.0003532981,0.000490007,0.0003974855,0.0002963479,0.0001647818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00054877,"about_ca_system_score_gemma":0.0002989321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008428085,"about_ca_topic_score_gemma":0.001222673,"domain_scores_codex":[0.9997005,0.00003736648,0.00001860194,0.00009461281,0.0001175092,0.00003142129],"domain_scores_gemma":[0.9991645,0.0002493915,0.0001636584,0.00008231326,0.0002729205,0.00006732246],"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":[0.00003403326,0.000006434747,0.0005607214,0.00001703991,0.000004689605,0.00003180312,0.00002126548,0.0002007349,0.9981225,0.00006533528,0.00001862571,0.0009168379],"study_design_scores_gemma":[0.000008569708,0.0001204061,0.006034465,0.000004354612,0.00001842427,0.0001777144,0.00003271798,0.006267234,0.9864998,0.00003788113,0.0007858781,0.00001259876],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9589582,0.0002799036,0.03913755,0.00005645014,0.00001534368,0.00003108163,0.00007668511,0.0003541166,0.001090695],"genre_scores_gemma":[0.9582706,0.0001089107,0.04035015,0.00003237552,0.00000699265,0.00003667613,0.00007547332,0.00005954543,0.001059286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008428085,"threshold_uncertainty_score":0.00398159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01989483102124453,"score_gpt":0.2376213948228543,"score_spread":0.2177265638016098,"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."}}