{"id":"W2570317525","doi":"","title":"Design and expected performances ofL, M and N band AGPMs for EELT/METIS.","year":2014,"lang":"en","type":"article","venue":"","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metis; Geography; Computer science; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004164754,0.00008349379,0.0001207228,0.00007264399,0.0001334392,0.00006067629,0.0001811459,0.00006879136,0.000003052691],"category_scores_gemma":[0.00004581735,0.00006344025,0.00001176436,0.00008151051,0.00005727375,0.0002040993,0.00001560387,0.00003964845,0.000003504968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004720525,"about_ca_system_score_gemma":0.000006981213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006387118,"about_ca_topic_score_gemma":0.000004031937,"domain_scores_codex":[0.9993611,0.00004064588,0.0001105544,0.0002421517,0.00008533803,0.0001602301],"domain_scores_gemma":[0.9995554,0.0001207582,0.00003889241,0.0002034505,0.00003919962,0.0000422897],"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":[0.0001291003,0.0001639495,0.0420327,0.000330064,0.0001822438,0.00000508282,0.003536641,0.00006533959,0.3774307,0.2326569,0.02058803,0.3228793],"study_design_scores_gemma":[0.003632524,0.001442841,0.01990036,0.00008499593,0.00003395007,0.0001290411,0.0002738403,0.2167606,0.71474,0.01002878,0.03219915,0.0007738948],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1402468,0.0003051676,0.8574804,0.0003749119,0.0001496947,0.0002776213,1.312988e-7,0.0001939873,0.0009712963],"genre_scores_gemma":[0.948954,0.00003091829,0.05049688,0.0001410508,0.00002656399,0.00003410349,2.531176e-7,0.000003650835,0.0003125418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8087073,"threshold_uncertainty_score":0.2587018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095647573120941,"score_gpt":0.2285852403212753,"score_spread":0.1976287645900659,"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."}}