{"id":"W4396608114","doi":"10.23977/acss.2024.080304","title":"Selection and verification of the mathematical model and mesh of The GPSD under moving water condition","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Selection (genetic algorithm); Computer science; Mathematics; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007270641,0.00054345,0.0004530745,0.0005808461,0.0004587198,0.0006515759,0.000936621,0.0006569151,0.001965402],"category_scores_gemma":[0.002020756,0.0002598456,0.000496328,0.0004310349,0.000437473,0.0006553147,0.0006328709,0.0004709732,0.0003481459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005700271,"about_ca_system_score_gemma":0.001094317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005970032,"about_ca_topic_score_gemma":0.002994223,"domain_scores_codex":[0.999629,0.00006581736,0.00004152577,0.00005602224,0.0001540936,0.00005358236],"domain_scores_gemma":[0.9995176,0.0001442986,0.00005081836,0.00009474601,0.0001688726,0.00002371469],"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":[0.0001574837,0.000134755,0.0107367,0.0003492447,0.00002952827,0.0003695028,0.0001946205,0.8747472,0.06400266,0.01307041,0.001269915,0.03493787],"study_design_scores_gemma":[0.00002223942,0.00004793057,0.001273441,0.00001781299,0.000008800362,0.00004367013,0.00006037701,0.9833891,0.01307335,0.0007034813,0.001343437,0.00001639316],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.353956,0.0002919477,0.6334144,0.0003724327,0.0001945179,0.0002571275,0.0008492846,0.001026396,0.00963789],"genre_scores_gemma":[0.8872563,0.0002189332,0.1103884,0.00003574832,0.00000976851,0.0003024813,0.0004976028,0.00008259479,0.001208181],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005970032,"threshold_uncertainty_score":0.01187056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009308288850403242,"score_gpt":0.2313045066553208,"score_spread":0.2219962178049175,"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."}}