{"id":"W6928895661","doi":"10.4224/23000193","title":"Large scale precision","year":2014,"lang":"en","type":"article","venue":"NPARC","topic":"Image Processing Techniques and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Herzberg Institute of Astrophysics","funders":"","keywords":"","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000700193,0.00003571555,0.00003716951,0.00001549007,0.00003553926,0.00001619955,0.00007130874,0.00002392151,0.000109148],"category_scores_gemma":[0.000006008965,0.00003376462,0.00001269317,0.00005265818,0.000005837097,0.00003528439,0.00001408454,0.00004609388,0.00008884115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006591186,"about_ca_system_score_gemma":0.000001342391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":1.447302e-7,"about_ca_topic_score_gemma":5.370578e-7,"domain_scores_codex":[0.9997644,0.000002760871,0.00004955022,0.00005390955,0.00004209789,0.00008723277],"domain_scores_gemma":[0.9998291,0.000008534607,0.000004823371,0.0001256626,0.00001133106,0.00002060935],"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":[0.000002244266,0.00006167811,0.000199233,0.00008515763,0.000005540318,3.361439e-7,0.0004407179,0.0002624636,0.3626216,0.02046463,0.1509333,0.4649231],"study_design_scores_gemma":[0.0001123458,0.00001037464,0.000277464,0.00002309666,0.000004056534,0.000002035489,0.000009359146,0.2953468,0.09557411,0.07045992,0.5380529,0.000127486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01598241,0.00001581529,0.802583,0.0001033649,0.00002984457,0.00004185755,0.000001964925,0.0006281628,0.1806136],"genre_scores_gemma":[0.9205557,0.000007730634,0.07901489,0.00004380415,0.00004720145,0.00002165528,0.000002672841,0.00001108822,0.0002952362],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9045733,"threshold_uncertainty_score":0.1376881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00685777016835364,"score_gpt":0.2372836207551873,"score_spread":0.2304258505868337,"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."}}