{"id":"W2100361085","doi":"10.1142/s2251171714400030","title":"Characterization of a Commercial, Front-Illuminated Interline Transfer CCD Camera for use as a Guide Camera on a Balloon-Borne Telescope","year":2014,"lang":"en","type":"preprint","venue":"Journal of Astronomical Instrumentation","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Science and Technology Facilities Council; Jet Propulsion Laboratory; Durham University; Leverhulme Trust; Aspen Center for Physics; California Institute of Technology; National Aeronautics and Space Administration; National Science Foundation","keywords":"Tilt (camera); Physics; Optics; Telescope; Balloon; Centroid; Pixel; Microlens; Remote sensing; Computer vision; Artificial intelligence; Computer science; Geology; Lens (geology); Engineering","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":[0.0006405727,0.0002796836,0.0002883234,0.0005336971,0.000361937,0.000602483,0.0008287592,0.0006390985,0.001289739],"category_scores_gemma":[0.001592062,0.0001896131,0.0001870874,0.0004767974,0.0003839288,0.0003790964,0.0003035204,0.0003462708,0.0003302132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008170813,"about_ca_system_score_gemma":0.0006698552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003733389,"about_ca_topic_score_gemma":0.005366547,"domain_scores_codex":[0.9992455,0.00004462041,0.00002725924,0.0001903006,0.0004185015,0.00007379379],"domain_scores_gemma":[0.9983791,0.0002324899,0.0001818338,0.0002090977,0.0008458603,0.0001516414],"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":[0.00006727874,0.00005551823,0.002545811,0.00004708437,0.000009998957,0.0001279493,0.0001090505,0.00030944,0.991282,0.0001468993,0.0002280826,0.005070839],"study_design_scores_gemma":[0.00002526827,0.0004865329,0.02919663,0.00001098191,0.00003082226,0.0006098109,0.0001184771,0.008387917,0.9577727,0.00003163439,0.003308824,0.00002049158],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.974293,0.0002286986,0.02273094,0.00009237668,0.0000147302,0.0001929906,0.0003758642,0.0002095692,0.00186188],"genre_scores_gemma":[0.9217811,0.0002154529,0.07467782,0.00008458414,0.00001190929,0.0001387984,0.0009382594,0.0001635476,0.001988532],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.003733389,"threshold_uncertainty_score":0.007423341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02054834748071355,"score_gpt":0.2758988088780281,"score_spread":0.2553504613973146,"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."}}