{"id":"W2022076623","doi":"10.1117/12.551097","title":"WIRCam: the infrared wide-field camera for the Canada-France-Hawaii Telescope","year":2004,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Adaptive optics and wavefront sensing","field":"Physics and Astronomy","cited_by":145,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National d'Optique; Université de Montréal","funders":"","keywords":"Telescope; Camera module; Optics; Optical telescope; Field of view; Physics; Infrared telescope; Detector; Pixel; Remote sensing; Computer science; Geology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003807208,0.000312094,0.0003369934,0.00003045823,0.0002975496,0.0001405082,0.0009247391,0.00008710539,0.00001302808],"category_scores_gemma":[0.0002203408,0.0001967017,0.0005373419,0.0002059219,0.0002050687,0.0002683148,0.0001458124,0.0003567753,6.451262e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001431086,"about_ca_system_score_gemma":0.0001718582,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003310442,"about_ca_topic_score_gemma":0.00004042402,"domain_scores_codex":[0.9981607,1.497102e-8,0.0005372529,0.000312067,0.0005437621,0.0004461794],"domain_scores_gemma":[0.9977456,0.000459847,0.0003584589,0.00008660494,0.001257102,0.00009241577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007489682,0.00007615837,0.000783622,0.0001108569,0.0007816384,6.050499e-8,0.0003106537,0.001240492,0.03900848,0.9437203,0.01287253,0.001020323],"study_design_scores_gemma":[0.01131835,0.001697229,0.008573318,0.001922203,0.001812774,0.00002932421,0.04065845,0.08748674,0.458888,0.07694761,0.3075334,0.003132532],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9805613,0.0001226404,0.001415138,0.01203968,0.0003665831,0.0008834724,0.000091068,0.00002559036,0.004494549],"genre_scores_gemma":[0.9614171,0.00002955938,0.03591669,0.0006222294,0.001023379,0.0001899553,0.00001071627,0.00007235081,0.0007180708],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8667727,"threshold_uncertainty_score":0.8021262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007821935445173851,"score_gpt":0.2112011995924279,"score_spread":0.203379264147254,"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."}}