{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001886916,0.0004007358,0.0002121332,0.0004099092,0.0002683249,0.0007423105,0.0004283454,0.0005459764,0.005345218],"category_scores_gemma":[0.0002218098,0.000236915,0.0001826772,0.0003913116,0.0002385895,0.0009547616,0.0003219687,0.000840044,0.001499183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009306853,"about_ca_system_score_gemma":0.0004508424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005952702,"about_ca_topic_score_gemma":0.001656515,"domain_scores_codex":[0.9997501,0.00001137238,0.000009343392,0.00006006402,0.0001501047,0.00001916397],"domain_scores_gemma":[0.9998899,0.00002255517,0.00001882241,0.000009773808,0.00004591737,0.0000130555],"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":[0.00008259195,0.00004097029,0.001003229,0.0006759502,0.0000137895,0.0001232,0.0001373554,0.0005913869,0.7575597,0.02642706,0.01282156,0.2005232],"study_design_scores_gemma":[0.00001613897,0.0002616676,0.002353404,0.0001301989,0.00003181668,0.00211322,0.0001292104,0.00656496,0.5258617,0.003061812,0.4594344,0.00004150362],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07286356,0.1395092,0.5438206,0.004683903,0.001885362,0.0003840637,0.001187202,0.00191261,0.2337535],"genre_scores_gemma":[0.4080277,0.06921371,0.4087267,0.002756584,0.0008404353,0.0001913632,0.0009384284,0.0002202171,0.1090849],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005345218,"threshold_uncertainty_score":0.01788157,"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."}}