{"id":"W2178448853","doi":"10.1109/rtc.2007.4382767","title":"Next Generation of Real Time Data Acquisition, Calibration and Control System for the RatCAP Scanner","year":2007,"lang":"en","type":"article","venue":"","topic":"Medical Imaging Techniques and Applications","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Firmware; Scanner; Application-specific integrated circuit; Computer science; Computer hardware; Data acquisition; Calibration; Detector; CMOS; Front and back ends; Electronics; Embedded system; Electronic engineering; Electrical engineering; Engineering; Physics; Artificial intelligence","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":[0.002229583,0.0007164355,0.0008046282,0.0006487315,0.0003113674,0.000795554,0.002158118,0.0009006101,0.01753716],"category_scores_gemma":[0.001294747,0.000375914,0.000353187,0.0003853615,0.0004052887,0.001116788,0.000917053,0.001122209,0.002836953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006223414,"about_ca_system_score_gemma":0.001352475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007336924,"about_ca_topic_score_gemma":0.001122224,"domain_scores_codex":[0.9991867,0.0001289256,0.00003718577,0.0001818827,0.0003849539,0.00008033498],"domain_scores_gemma":[0.9986889,0.0001957767,0.00009437395,0.0002390047,0.0005932814,0.0001886899],"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":[0.002677232,0.000609459,0.005966747,0.0006129284,0.0002162168,0.0008272895,0.0002207876,0.003139973,0.7318174,0.008769102,0.04094732,0.2041956],"study_design_scores_gemma":[0.0007138942,0.007634373,0.01637726,0.0001165627,0.0004587807,0.00632712,0.0001113669,0.08130945,0.6764726,0.002034401,0.2080808,0.0003634141],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1032488,0.0008367467,0.8468949,0.0008902796,0.0006807785,0.001466522,0.002290563,0.03200953,0.01168194],"genre_scores_gemma":[0.2654566,0.0004798473,0.7003598,0.00150115,0.0002423606,0.001789288,0.003836203,0.0008276204,0.02550717],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01753716,"threshold_uncertainty_score":0.0586676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06086616258941537,"score_gpt":0.3302106847672627,"score_spread":0.2693445221778473,"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."}}