{"id":"W2074171364","doi":"10.1117/12.869593","title":"E-AERI calibration performance certification","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Calibration; Materials science; Remote sensing; Physics; Geography","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":[0.0004477642,0.0002428842,0.0002419826,0.0001003559,0.00006895988,0.0001185475,0.0005654308,0.0002026089,0.00002434402],"category_scores_gemma":[0.0001862042,0.0002165589,0.0003055723,0.0002661903,0.0001200964,0.0006665013,0.00004978859,0.0003558378,0.000001741757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007936868,"about_ca_system_score_gemma":0.00002019305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002947134,"about_ca_topic_score_gemma":4.010093e-7,"domain_scores_codex":[0.9984072,6.000281e-9,0.0005688456,0.000236789,0.0005208908,0.0002662435],"domain_scores_gemma":[0.998802,0.00004200749,0.0001689734,0.00006687894,0.0008244648,0.00009569393],"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":[0.00002041947,0.00003955286,0.0003157101,0.0002938434,0.00009183992,1.016643e-8,0.0000988732,0.0002026799,0.814109,0.1797426,0.004256701,0.0008286961],"study_design_scores_gemma":[0.0003674616,0.00008925932,0.001283979,0.00009548727,0.0000529767,0.000006685901,0.0001573682,0.1982872,0.7879682,0.0003268597,0.0110981,0.0002664033],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923688,0.00002859215,0.0002990975,0.001014552,0.0004460315,0.0004755036,0.00002031737,0.0003944532,0.004952667],"genre_scores_gemma":[0.9339222,0.0000981159,0.06512293,0.00006269123,0.0003769222,0.0001946728,0.00001844784,0.00006349255,0.0001405584],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1980845,"threshold_uncertainty_score":0.8831015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487802712496422,"score_gpt":0.2197268415908787,"score_spread":0.2048488144659145,"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."}}