{"id":"W4416371835","doi":"10.2316/j.2026.206-1283","title":"A NEW MULTIMODAL PERCEPTION-BASED SENSOR FUSION COST MAP. 321-334","year":2025,"lang":"en","type":"article","venue":"International Journal of Robotics and Automation","topic":"Fire Detection and Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sensor fusion; Fusion; Field (mathematics); Key (lock); Image fusion; Feature (linguistics)","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":[0.0003424654,0.0009956212,0.0006525627,0.0009499418,0.000396014,0.001124784,0.001151576,0.0007516955,0.007175894],"category_scores_gemma":[0.001293034,0.0003639318,0.0006947042,0.001059991,0.0002698769,0.001770012,0.001419836,0.0006700567,0.002570062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004994607,"about_ca_system_score_gemma":0.0008461483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003757734,"about_ca_topic_score_gemma":0.004300151,"domain_scores_codex":[0.9995657,0.00005441503,0.00001779451,0.00008943741,0.0002263702,0.00004636652],"domain_scores_gemma":[0.9997805,0.00003113766,0.00001301913,0.00002886879,0.0001325964,0.00001388298],"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":[0.0004097976,0.0001845204,0.0006618578,0.0002319918,0.0001276567,0.0001465782,0.00007225998,0.08488967,0.05258535,0.01452071,0.01022687,0.8359427],"study_design_scores_gemma":[0.00002354475,0.0001791116,0.002396918,0.00004585192,0.00008749687,0.0003055913,0.00006098197,0.9330443,0.0356429,0.01192231,0.01622936,0.00006166256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009848665,0.0006530101,0.982549,0.0001842421,0.0001638022,0.00007614055,0.000466019,0.0008796023,0.005179528],"genre_scores_gemma":[0.3749579,0.001228136,0.602816,0.0002887025,0.0001879306,0.0003796053,0.00214446,0.0003849947,0.01761226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007175894,"threshold_uncertainty_score":0.02400577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006205274678054952,"score_gpt":0.2386282835932608,"score_spread":0.2324230089152058,"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."}}