{"id":"W2982033348","doi":"10.4095/211416","title":"Aeromagnetic residual total field survey, Oswego, New York","year":2000,"lang":"en","type":"report","venue":"","topic":"Image Processing and 3D Reconstruction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Residual; Field (mathematics); Field survey; Archaeology; Geology; Geodesy; Geography; Mathematics; Cartography; Algorithm","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":[],"category_scores_codex":[0.0006467915,0.0003425171,0.0004250327,0.0002091326,0.0001591449,0.0006013804,0.000847539,0.0004753236,0.001206426],"category_scores_gemma":[0.0001994463,0.0003035289,0.0001309286,0.0004140993,0.00004903557,0.0002741506,0.0001693338,0.0005648902,0.0002843803],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007017369,"about_ca_system_score_gemma":0.004165478,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007860444,"about_ca_topic_score_gemma":0.0005753759,"domain_scores_codex":[0.9973269,0.0001201403,0.0005021896,0.000787427,0.0008383709,0.0004249421],"domain_scores_gemma":[0.9984006,0.0001916675,0.0002129415,0.0008078595,0.0002076929,0.0001792068],"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":[0.000004378065,0.00001328975,0.0001682783,0.00003322283,0.00001583917,0.00001733253,0.00003863772,0.000003932793,0.000003703355,0.0000195163,0.4624356,0.5372463],"study_design_scores_gemma":[0.003003905,0.003004076,0.05164326,0.002331728,0.0003585156,0.02284431,0.00007965032,0.006188559,0.008207535,0.008839828,0.8848885,0.008610137],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001789558,0.005987062,0.09553988,0.0008612622,0.008945629,0.0002802343,0.00001286183,0.000941225,0.8856423],"genre_scores_gemma":[0.01282695,0.0006069561,0.07064543,0.0003359633,0.002653491,0.00001165236,0.00009176231,0.00005840436,0.9127694],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5286362,"threshold_uncertainty_score":0.9999417,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04513458834386727,"score_gpt":0.2732510099653845,"score_spread":0.2281164216215173,"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."}}