{"id":"W6894282340","doi":"10.5291/ill-data.3-07-366","title":"Invention of Super broad-band polariser for cold neutrons: a comparative test.","year":2016,"lang":"en","type":"dataset","venue":"Institut Laue-Langevin","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Polarizer; Window (computing); Compression (physics)","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000695968,0.0009415365,0.001731281,0.0007986873,0.000231769,0.000120993,0.001121492,0.0008633999,0.0007826629],"category_scores_gemma":[0.0007039049,0.0007872048,0.0005080303,0.0005303033,0.0007560307,0.0006385935,0.000216351,0.0006230683,0.003719949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000380454,"about_ca_system_score_gemma":0.0008282744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001321051,"about_ca_topic_score_gemma":0.007097066,"domain_scores_codex":[0.9958971,0.0002489295,0.001189655,0.001030582,0.0007736823,0.000860061],"domain_scores_gemma":[0.9958382,0.0007186653,0.001022976,0.001545199,0.0005873386,0.0002876638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003089272,0.0007581167,0.0003732046,0.0007592462,0.0004043979,0.00002692065,0.00007369078,0.000005257489,0.01192581,0.0005427947,0.9847924,0.00002924104],"study_design_scores_gemma":[0.003395596,0.0004704368,0.0002640032,0.001589575,0.0007726488,0.00001962762,0.0000430016,0.000005708869,0.004124925,0.0001607134,0.9882513,0.000902415],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00120792,0.002324331,0.00003827585,0.00007944592,0.0009242871,0.003355463,0.9903719,0.0001454838,0.001552875],"genre_scores_gemma":[0.002489397,0.0001898529,0.0002143605,0.0002165144,0.0008167643,0.0008842169,0.9936389,0.0001442396,0.001405703],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007800881,"threshold_uncertainty_score":0.9994579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0619780993348348,"score_gpt":0.3287583606378476,"score_spread":0.2667802613030128,"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."}}