{"id":"W4299558313","doi":"10.48550/arxiv.1408.6529","title":"Characterization of a commercial, front-illuminated interline transfer\\n CCD camera for use as a guide camera on a balloon-borne telescope","year":2014,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Public Health","funders":"","keywords":"Tilt (camera); Physics; Telescope; Optics; Centroid; Balloon; Pixel; Remote sensing; Front (military); Artificial intelligence; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003785732,0.001167265,0.001767876,0.0004884104,0.0004154074,0.0001808211,0.0008066566,0.0005481024,0.0002490222],"category_scores_gemma":[0.00005663162,0.001397836,0.001005037,0.0003815112,0.0004766115,0.0004386729,0.0003986912,0.0009440653,0.00009366869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003806452,"about_ca_system_score_gemma":0.0004052549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00263718,"about_ca_topic_score_gemma":0.0002001243,"domain_scores_codex":[0.9954749,0.0003643647,0.001192951,0.001852716,0.0001965702,0.0009185501],"domain_scores_gemma":[0.9957932,0.000420286,0.0009571745,0.001272784,0.001134691,0.0004218254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.02129606,0.01234457,0.01241838,0.002342289,0.01050436,0.000372475,0.01024848,0.1423139,0.1934527,0.5320826,0.001351565,0.06127265],"study_design_scores_gemma":[0.0115035,0.00352834,0.008035012,0.003772766,0.003140546,0.000004635136,0.001759864,0.9006034,0.02867669,0.001859721,0.03327936,0.00383616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5996284,0.000006536319,0.3968883,0.00008486785,0.0005247066,0.001383762,0.0009119432,0.00003355057,0.0005378885],"genre_scores_gemma":[0.9905718,0.0001625867,0.0008036805,0.0002272199,0.000420481,0.000006628587,0.002012668,0.000167479,0.005627464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7582895,"threshold_uncertainty_score":0.9988471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04354359649074956,"score_gpt":0.2066780111189458,"score_spread":0.1631344146281962,"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."}}