{"id":"W6907936298","doi":"10.24433/co.0382359.v1","title":"LQ/QR noise estimator","year":2019,"lang":"en","type":"other","venue":"Code Ocean","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Estimator; Noise (video); Value noise; Signal processing; Noise measurement; Gaussian noise; Estimation theory; White noise","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001242248,0.0004625719,0.0005172948,0.0003348745,0.00003165621,0.00005615901,0.0005708672,0.0004093185,0.007008418],"category_scores_gemma":[0.00007768813,0.0004519082,0.0001399602,0.0001771941,0.0001042464,0.00003956671,0.0001317759,0.0003021175,0.3516858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001085551,"about_ca_system_score_gemma":0.0001490646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005054792,"about_ca_topic_score_gemma":0.00006138579,"domain_scores_codex":[0.9983433,0.00004858846,0.0001986685,0.0005829015,0.0003774274,0.0004490984],"domain_scores_gemma":[0.9981638,0.0000294555,0.00027288,0.001316292,0.00003452388,0.0001830541],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001089329,0.00004598354,0.0006427941,0.0001329083,0.00007280061,0.00003018239,0.00002708829,0.000005935673,0.00008523627,0.0006851188,0.9981138,0.0001473332],"study_design_scores_gemma":[0.0005089142,0.0000213484,0.00009180968,0.0003391881,0.00008005256,0.00001006948,0.000007204851,0.0002795755,0.00004436701,0.00004835686,0.9980394,0.0005297468],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008749196,0.001064757,0.00005106958,0.00005226288,0.0009378925,0.0005598978,0.001637239,0.001591278,0.9940181],"genre_scores_gemma":[0.0007259535,0.00001497921,0.001296374,0.0001161397,0.0006373907,0.000003895575,0.0002565162,0.004891518,0.9920572],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3446774,"threshold_uncertainty_score":0.9997933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01556026408952931,"score_gpt":0.2651319313596643,"score_spread":0.249571667270135,"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."}}