{"id":"W33611978","doi":"10.1177/2325958221995344","title":"The Derivative Orthogonal Signals System","year":2012,"lang":"en","type":"article","venue":"","topic":"Advanced Signal Processing Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research","keywords":"Correlation; Computer science; Derivative (finance); Quality (philosophy); Space (punctuation); Algorithm; Mathematics; Physics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001831842,0.00008291531,0.00006781983,0.00001591003,0.0001099731,0.00002282987,0.000113245,0.00003207042,0.00001776603],"category_scores_gemma":[0.00001729628,0.00005190231,0.00002204113,0.00008620761,0.00002948178,0.0001996947,0.00002030734,0.00008726193,0.00004985712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005111486,"about_ca_system_score_gemma":0.000004631874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.944351e-7,"about_ca_topic_score_gemma":5.33195e-7,"domain_scores_codex":[0.9994917,0.00001426469,0.0001133613,0.00004748915,0.00009810455,0.00023506],"domain_scores_gemma":[0.9996821,0.0001153185,0.00001567002,0.0001097076,0.00002746367,0.00004975273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003667072,0.0000617925,0.004450507,0.0005966254,0.0002917279,0.000008998451,0.001723003,0.01321644,0.1914391,0.6179177,0.03915954,0.1310979],"study_design_scores_gemma":[0.000256121,0.00005223041,0.001767425,0.0002185712,0.00003045747,0.00007071952,0.001716743,0.04631509,0.8581116,0.009547033,0.08099539,0.0009186207],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0146565,0.001601103,0.9154291,0.00003290214,0.0001839554,0.0001212833,0.000001482111,0.002495194,0.06547847],"genre_scores_gemma":[0.9898215,0.00001005385,0.009810251,0.00002392109,0.000104656,0.00003121736,6.614979e-7,0.00002101304,0.0001767295],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.975165,"threshold_uncertainty_score":0.2116515,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075729986050116,"score_gpt":0.2321203022990551,"score_spread":0.2213630024385539,"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."}}