{"id":"W4399800465","doi":"10.1109/twc.2024.3413671","title":"Decimeter Level Cooperative Direct Localization With Ising Model Approach","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Wireless Communications","topic":"Identification and Quantification in Food","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Ising model; Computer science; Statistical physics; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0001748589,0.0001877207,0.0001308436,0.0001643686,0.0005678326,0.0001778947,0.000447934,0.00012873,0.00001713703],"category_scores_gemma":[0.000005521122,0.0001718594,0.00009114862,0.0004471399,0.0002423974,0.0000271283,0.000006478429,0.0002232101,0.00006129369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004198581,"about_ca_system_score_gemma":0.0001590755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001377647,"about_ca_topic_score_gemma":0.00008280087,"domain_scores_codex":[0.9988182,0.0001398258,0.0002788983,0.0004231414,0.0001752753,0.0001646808],"domain_scores_gemma":[0.9982104,0.00005063506,0.00005343881,0.001378443,0.0002372501,0.00006982323],"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":[0.0001816215,0.001581239,0.00001984667,0.0001264249,0.0007236098,9.236525e-7,0.001868438,0.6837077,0.2629358,0.01397141,0.004842945,0.03004001],"study_design_scores_gemma":[0.0003121783,0.0001021601,0.00001747702,0.00008226452,0.00009827451,0.00001769305,0.000226119,0.7591944,0.2288859,0.0000257708,0.01067249,0.0003652339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005622557,0.0002892006,0.9882657,0.0004427479,0.0001311264,0.0003128056,0.0001582551,0.0001210766,0.004656554],"genre_scores_gemma":[0.9848209,0.0005275075,0.009465999,0.0001950209,0.0000238126,0.0002843187,0.0003403088,0.00005294518,0.004289164],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9791983,"threshold_uncertainty_score":0.7008223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06660389995145187,"score_gpt":0.3012274933903437,"score_spread":0.2346235934388918,"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."}}