{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001595772,0.001941728,0.001274598,0.001923756,0.0006058548,0.001495883,0.002510047,0.002155061,0.01811077],"category_scores_gemma":[0.006628623,0.0004057391,0.001454629,0.002723853,0.000445918,0.001776834,0.001506905,0.001063769,0.02644108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001472255,"about_ca_system_score_gemma":0.001699157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.018337,"about_ca_topic_score_gemma":0.03893143,"domain_scores_codex":[0.9986792,0.0002487456,0.0000974374,0.0004010451,0.0004055415,0.0001681202],"domain_scores_gemma":[0.9975876,0.0008164484,0.0002328165,0.0007240468,0.00052558,0.0001134397],"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":[0.001247539,0.0001186083,0.006381985,0.002586278,0.0002386561,0.0001062249,0.00003307723,0.004757659,0.0009587042,0.002417896,0.9560453,0.02510822],"study_design_scores_gemma":[0.0005797686,0.0001384359,0.01604662,0.0005592925,0.0002616591,0.0002956194,0.0001377335,0.006325644,0.003976402,0.004502708,0.9671173,0.00005880335],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005863081,0.003361308,0.001223093,0.0005703555,0.0001781808,0.00003482512,0.9776567,0.001416875,0.009695549],"genre_scores_gemma":[0.007420327,0.000655911,0.001607139,0.0001290991,0.00002616904,0.00005134176,0.9870493,0.0001301128,0.002930516],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.018337,"threshold_uncertainty_score":0.06058657,"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."}}