{"id":"W1994193245","doi":"10.1190/1.2431826","title":"Locating cannons by sound ranging in World War I","year":2007,"lang":"en","type":"article","venue":"The Leading Edge","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Ranging; Sound (geography); Acoustics; Computer science; Telecommunications; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008061742,0.0007713359,0.0002014247,0.001548569,0.003638764,0.002079185,0.0005409244,0.001701365,0.008711813],"category_scores_gemma":[0.002041373,0.0004448538,0.0002097245,0.00137055,0.003130035,0.0026436,0.002350831,0.001340793,0.001616471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001992138,"about_ca_system_score_gemma":0.001039005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02134312,"about_ca_topic_score_gemma":0.06722492,"domain_scores_codex":[0.9996117,0.0000971513,0.00001462476,0.00008948452,0.0001052863,0.00008166328],"domain_scores_gemma":[0.9996736,0.0001267423,0.00005201434,0.00002772553,0.00008296678,0.0000370128],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006501675,0.00006578564,0.02113825,0.0006171943,0.00004171918,0.00385938,0.06903741,0.001580327,0.005182839,0.09574827,0.1881053,0.6139732],"study_design_scores_gemma":[0.00002219607,0.0001981615,0.01350778,0.0006310145,0.00003827157,0.001897762,0.05225209,0.0008796454,0.00802178,0.01351478,0.908928,0.000108567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2071515,0.02543426,0.03970107,0.03411698,0.008638063,0.000195402,0.0008085134,0.0007216989,0.6832326],"genre_scores_gemma":[0.7204944,0.01170732,0.03409937,0.006395953,0.0008708031,0.0000988907,0.0005739602,0.0002415383,0.2255177],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02134312,"threshold_uncertainty_score":0.04243779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02375249653267044,"score_gpt":0.2461979394043003,"score_spread":0.2224454428716299,"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."}}