{"id":"W4414277469","doi":"10.1117/12.3063924","title":"Teledyne’s CMOS TDI detectors for remote sensing applications","year":2025,"lang":"en","type":"article","venue":"","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalsa Corporation","funders":"","keywords":"Detector; Earth observation; Satellite; Focal Plane Arrays; Remote sensing application; Low earth orbit; Space technology","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":[],"consensus_categories":[],"category_scores_codex":[0.00004106663,0.00008630596,0.00008944869,0.00007063069,0.00006800983,0.00002767162,0.00006088619,0.00003691887,0.0000117281],"category_scores_gemma":[0.00001699315,0.00008699154,0.00005051457,0.0001879916,0.00001376667,0.00002745995,0.00001061327,0.00006096856,0.00002526344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000391617,"about_ca_system_score_gemma":0.000009946461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002220193,"about_ca_topic_score_gemma":0.00003405565,"domain_scores_codex":[0.9995615,0.000003139229,0.0001160285,0.000116461,0.00003792713,0.0001649434],"domain_scores_gemma":[0.9996744,0.00007028054,0.00000708594,0.0001903284,0.00002999099,0.00002789624],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003787127,0.000005377543,0.00003777548,0.0001497585,0.00006028248,7.343543e-7,0.00006956502,0.004213579,0.03270141,0.002051725,0.01090915,0.9497969],"study_design_scores_gemma":[0.0002963478,0.000005272891,0.0001499273,0.00003447652,0.00003491854,0.000003992217,0.0001042761,0.5597496,0.07281785,0.003604369,0.362975,0.0002239033],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01532,0.0001048076,0.9481978,0.0002321914,0.0002071181,0.0003401031,0.000003875403,0.0008201962,0.03477393],"genre_scores_gemma":[0.9156278,0.00001671811,0.07753208,0.0002808251,0.0001246785,0.000007567905,0.000006796891,0.0000364039,0.006367108],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.949573,"threshold_uncertainty_score":0.3547412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004813506608953391,"score_gpt":0.224756433699319,"score_spread":0.2199429270903656,"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."}}