{"id":"W2074031628","doi":"10.1117/12.709738","title":"Perception of dim targets on dark backgrounds in MRI","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Artificial intelligence; Computer science; Computer vision; Thresholding; Pixel; Phase congruency; Observer (physics); Wavelet; Pattern recognition (psychology); Noise (video); Contrast (vision); Artifact (error); Feature extraction; Physics; Image (mathematics)","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":[0.001619806,0.0004351962,0.0004352564,0.0005754906,0.0001821694,0.0008812912,0.0003221062,0.0005706134,0.00166273],"category_scores_gemma":[0.008204577,0.0003529823,0.0002441737,0.0001586412,0.000649657,0.0006193326,0.001079804,0.0005299256,0.0004204562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001775163,"about_ca_system_score_gemma":0.0002302735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005397563,"about_ca_topic_score_gemma":0.0004437357,"domain_scores_codex":[0.9991444,0.0003539674,0.00003860602,0.0001773063,0.000205359,0.00008032125],"domain_scores_gemma":[0.9972543,0.001706614,0.0002988131,0.0002758606,0.0002474419,0.0002170189],"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":[0.002547312,0.00009277864,0.004584651,0.0002772805,0.00004979812,0.0003316386,0.0009367232,0.003979754,0.9635473,0.0009215734,0.0003388672,0.02239222],"study_design_scores_gemma":[0.000248852,0.006685224,0.2131475,0.0002820718,0.000271421,0.007455805,0.001469526,0.09870053,0.6617218,0.005618991,0.004078472,0.000319674],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327246,0.0002976017,0.06454315,0.00006782861,0.00004486208,0.00005618826,0.00008791548,0.000230907,0.001946952],"genre_scores_gemma":[0.9673182,0.0002509341,0.03078408,0.0001686027,0.00002768958,0.00003328468,0.0001454925,0.0001326074,0.001139027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00166273,"threshold_uncertainty_score":0.008566439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0140858565216292,"score_gpt":0.2594058408653438,"score_spread":0.2453199843437146,"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."}}