{"id":"W4205240794","doi":"10.1109/tip.2021.3129405","title":"IEEE Signal Processing Society Information","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Image Processing","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Signal processing; Computer science; Multidimensional signal processing; Image processing; Computer vision; Artificial intelligence; Telecommunications; Radar; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006967746,0.001485971,0.0009914582,0.003083695,0.0006387155,0.002774951,0.0009207635,0.001961737,0.1673218],"category_scores_gemma":[0.002897047,0.0005155649,0.0004739718,0.002742276,0.0004755222,0.001896601,0.001527789,0.002094411,0.185896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005284608,"about_ca_system_score_gemma":0.001288621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002166983,"about_ca_topic_score_gemma":0.00191575,"domain_scores_codex":[0.9993666,0.0000772764,0.00004595961,0.0001138494,0.000344163,0.00005217291],"domain_scores_gemma":[0.998291,0.0002015134,0.00006703447,0.0005158402,0.0008373905,0.00008727965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009247527,0.00005704222,0.0001488287,0.0001650228,0.00002529146,0.0001027042,0.00002372754,0.001579719,0.005489523,0.01288669,0.4072931,0.5721358],"study_design_scores_gemma":[0.00003073296,0.00007107324,0.0006800583,0.0001418256,0.00004511112,0.0003069882,0.00002897853,0.01941877,0.006632303,0.01717313,0.9554307,0.00004034536],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003811265,0.01289067,0.4518525,0.009360562,0.01116444,0.0005078966,0.009503487,0.01477006,0.4861391],"genre_scores_gemma":[0.03521515,0.01289263,0.07309753,0.002609665,0.003067568,0.0004803317,0.02342044,0.001658351,0.8475583],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8326782,"threshold_uncertainty_score":0.5597473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02940789781127422,"score_gpt":0.2219364918097086,"score_spread":0.1925285939984344,"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."}}