{"id":"W4404903811","doi":"10.61618/ssov3472","title":"Voice Calling Detection Distance in Land Search and Rescue","year":2024,"lang":"en","type":"article","venue":"The Journal of Search and Rescue","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Search and rescue; Computer science; Speech recognition; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002136633,0.00006335388,0.0001085567,0.0001901702,0.0001186199,0.0002203566,0.0002217679,0.00003698171,0.000005581009],"category_scores_gemma":[0.00006455991,0.00003684714,0.00002761505,0.0002944551,0.0000761825,0.0002804264,0.00008001037,0.0004402874,0.000006604431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003042983,"about_ca_system_score_gemma":0.00006292632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000336788,"about_ca_topic_score_gemma":0.001071064,"domain_scores_codex":[0.9989711,0.000243656,0.0001870384,0.0001114714,0.0003025999,0.0001841261],"domain_scores_gemma":[0.9994354,0.0002722766,0.00000851521,0.0001052805,0.00007521745,0.0001033178],"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":[0.0002778408,0.00005301928,0.00127672,0.0002178219,0.00006762329,0.0004516098,0.005250817,0.0006899582,0.0295171,0.0006211799,0.00005582911,0.9615205],"study_design_scores_gemma":[0.001602326,0.0008154087,0.07696748,0.001824786,0.00004410242,0.003989198,0.002291088,0.8053715,0.0992777,0.003565669,0.003790452,0.0004603375],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9341739,0.003906143,0.05946133,0.002159125,0.0001180635,0.00006465438,0.000001385085,0.00001273867,0.0001026212],"genre_scores_gemma":[0.9949859,0.003464406,0.001262672,0.00004415632,0.0001127034,6.259624e-7,7.150095e-8,0.000004926325,0.0001245834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9610602,"threshold_uncertainty_score":0.2124904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02945089818660091,"score_gpt":0.2843155018237495,"score_spread":0.2548646036371486,"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."}}