{"id":"W3083878162","doi":"10.5194/egusphere-egu2020-6651","title":"Preliminary Study on Fusion Scheme of Multi-dimensional and Multi-scale Potential Field Data","year":2020,"lang":"en","type":"article","venue":"","topic":"Geological and Geophysical Studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Fuse (electrical); Sensor fusion; Scale (ratio); Benchmark (surveying); Data processing; Computer science; Gravitational field; Field (mathematics); Fusion; Data mining; Geophysics; Remote sensing; Geodesy; Geology; Engineering; Physics; Artificial intelligence; Database; Mathematics; Electrical engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.004489258,0.0007615489,0.0007970534,0.001715197,0.0009896269,0.001692415,0.001387166,0.0008868343,0.002204041],"category_scores_gemma":[0.006070158,0.0003802208,0.001312042,0.00211817,0.0005579574,0.004624265,0.001887545,0.0009903702,0.0006535249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009791343,"about_ca_system_score_gemma":0.001225417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008429071,"about_ca_topic_score_gemma":0.00293612,"domain_scores_codex":[0.9977817,0.0004486838,0.0002163604,0.0004720334,0.0009025306,0.0001787224],"domain_scores_gemma":[0.9979351,0.0002977312,0.0001183322,0.0004066523,0.001112624,0.0001295215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001129621,0.0002565872,0.02186575,0.0003416892,0.0003213794,0.0004626015,0.0009521014,0.2863949,0.03787574,0.04138254,0.007504483,0.6015126],"study_design_scores_gemma":[0.00004392362,0.0001404682,0.003829788,0.00002404265,0.00005188167,0.0001420489,0.0001855989,0.9708632,0.01322572,0.005549568,0.005895406,0.00004829323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09279273,0.0009243356,0.8989035,0.0005034234,0.0002534048,0.0003356339,0.0004791401,0.001144103,0.00466371],"genre_scores_gemma":[0.6753345,0.0007978611,0.3183197,0.0001285579,0.0001067817,0.000173119,0.001862388,0.0001308527,0.003146316],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008429071,"threshold_uncertainty_score":0.02374172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0691834787647295,"score_gpt":0.255181042077233,"score_spread":0.1859975633125035,"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."}}