{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001358712,0.00008714429,0.00009946394,0.00005309741,0.0002306952,0.00003607578,0.000190443,0.00002761791,0.0001890321],"category_scores_gemma":[0.0000425139,0.00005661183,0.00002645835,0.0004122368,0.00005371368,0.00009669631,0.000006691319,0.0002138801,0.0004341764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009917129,"about_ca_system_score_gemma":0.000009694162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002527562,"about_ca_topic_score_gemma":0.05171005,"domain_scores_codex":[0.9991582,0.00006537393,0.0001478912,0.0001331963,0.000115085,0.0003802278],"domain_scores_gemma":[0.9994884,0.0002989158,0.00003432018,0.0001148758,0.000009681508,0.00005378493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000206863,0.000008338318,0.9092786,0.00001549027,0.000007273448,0.00002055756,0.004568075,0.0007428581,0.0004303119,0.00005042792,0.008474,0.07638334],"study_design_scores_gemma":[0.0008710674,0.00008307194,0.904235,0.0002239828,0.00002523625,0.00005066984,0.007424594,0.007829226,0.001759192,0.001475624,0.07506648,0.000955871],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9447284,0.00154338,0.0002333148,0.0003024387,0.0003213983,0.00007688508,0.000008245687,0.00005848483,0.05272739],"genre_scores_gemma":[0.991791,0.000005620887,0.00009417079,0.0002905971,0.0001221567,3.368663e-7,0.00002319685,0.000003396929,0.00766959],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07542747,"threshold_uncertainty_score":0.9655938,"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."}}