{"id":"W2726747157","doi":"10.3390/s17071526","title":"Multisensor Parallel Largest Ellipsoid Distributed Data Fusion with Unknown Cross-Covariances","year":2017,"lang":"en","type":"article","venue":"Sensors","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Ellipsoid; Sensor fusion; Fusion; Computer science; Geodesy; Artificial intelligence; Geology","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":[0.001873774,0.001030119,0.001315261,0.000917786,0.0007531052,0.001083179,0.001294509,0.0008841492,0.001081344],"category_scores_gemma":[0.003499096,0.0005201676,0.001067517,0.00129316,0.0007215487,0.002494895,0.00239886,0.001121833,0.000364359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008371139,"about_ca_system_score_gemma":0.001352476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003701836,"about_ca_topic_score_gemma":0.0030035,"domain_scores_codex":[0.9979861,0.0004333842,0.0001417272,0.0004860811,0.0008065909,0.0001461115],"domain_scores_gemma":[0.998421,0.0003975696,0.0001740251,0.0003649634,0.0005953511,0.00004711468],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003957876,0.00008384402,0.002786674,0.0001948281,0.0002213563,0.0002041871,0.0002728841,0.6264704,0.02766747,0.02361658,0.00204853,0.3160376],"study_design_scores_gemma":[0.00001385282,0.00004377391,0.0004223145,0.000006562772,0.00001864318,0.00007950507,0.00003036011,0.9850336,0.008298532,0.00481551,0.001215329,0.0000220781],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007165003,0.0001159728,0.9917132,0.00005110356,0.00002253792,0.00001927485,0.00002474185,0.0001723808,0.0007159511],"genre_scores_gemma":[0.5695301,0.0003348236,0.4269026,0.0001190157,0.00006037068,0.0001527858,0.0003013851,0.00006612362,0.002532748],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003701836,"threshold_uncertainty_score":0.00990957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04488412454803021,"score_gpt":0.2965000776262643,"score_spread":0.2516159530782341,"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."}}