{"id":"W2082568223","doi":"10.1117/12.788929","title":"CCCP: a CCD controller for counting photons","year":2008,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"CCD and CMOS Imaging Sensors","field":"Engineering","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Photon Etc (Canada)","funders":"","keywords":"Photon counting; Controller (irrigation); Pixel; Frame rate; Frame (networking); Physics; Noise (video); Photon; Computer science; Clock rate; Optics; Computer hardware; Image (mathematics); Optoelectronics; Artificial intelligence; CMOS; Telecommunications","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":[0.0006351392,0.0007255216,0.0007354713,0.001353938,0.001127782,0.001415311,0.002578531,0.001105561,0.01403096],"category_scores_gemma":[0.001272123,0.0005050895,0.0002440708,0.0009154468,0.0004633554,0.001430097,0.00123207,0.00139462,0.006140071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047336,"about_ca_system_score_gemma":0.001115133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002056081,"about_ca_topic_score_gemma":0.002781506,"domain_scores_codex":[0.998131,0.0001036716,0.00006272503,0.0003029061,0.001311866,0.00008790229],"domain_scores_gemma":[0.9988816,0.0001469533,0.00007702447,0.0001328677,0.0006385137,0.0001229754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007753049,0.0001919526,0.003561172,0.001115959,0.00008253463,0.0006492263,0.000259642,0.001824991,0.3418859,0.0140369,0.1726722,0.4629443],"study_design_scores_gemma":[0.0001530946,0.0005634423,0.006038139,0.00007680494,0.0001213399,0.003730505,0.00008810619,0.05508037,0.4544023,0.001542589,0.4779728,0.0002304361],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01931614,0.003177148,0.9066176,0.0006386249,0.00156742,0.0007966798,0.002766467,0.03334329,0.03177663],"genre_scores_gemma":[0.2408294,0.001673487,0.6824702,0.001659988,0.000931409,0.001524517,0.004548725,0.001784304,0.06457793],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01403096,"threshold_uncertainty_score":0.04693824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101529523615223,"score_gpt":0.2140529058927557,"score_spread":0.2030376106566034,"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."}}