{"id":"W7123541468","doi":"10.14339/sto-avt-394-1","title":"Introduction: Water Sampling, Monitoring and Control/Remediation for Live-Fire Military Ranges","year":2025,"lang":"","type":"article","venue":"NATO Journal of Science and Technology","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Work (physics); Range (aeronautics); Identification (biology); Tracking (education); Process (computing)","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005867362,0.0001663028,0.0003895812,0.001078687,0.0008024415,0.0002029744,0.0006036756,0.0002153916,0.00002403861],"category_scores_gemma":[0.002117907,0.0001194287,0.00003379134,0.0009486911,0.002968233,0.000810759,0.0002204177,0.0002923209,0.000003192708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001542305,"about_ca_system_score_gemma":0.0004241983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002142165,"about_ca_topic_score_gemma":0.000001786007,"domain_scores_codex":[0.9977702,0.00003424464,0.0005204474,0.0004458972,0.0005684801,0.0006607427],"domain_scores_gemma":[0.9978619,0.0001292238,0.0001300231,0.0001931659,0.001529341,0.0001564113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008653564,0.00002698908,0.0005919433,0.000134135,0.00001209338,0.000003288698,0.0002847154,0.00004399101,0.9618618,0.0007833378,0.0001285723,0.03604254],"study_design_scores_gemma":[0.001191129,0.0007332071,0.0007940387,0.0002366456,0.00005677547,0.0001455246,0.002106104,0.000978996,0.9810569,0.004611797,0.007913698,0.0001751337],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9598398,0.009268989,0.002021358,0.02456782,0.003988828,0.0002705177,0.000005602416,0.00002692457,0.00001013582],"genre_scores_gemma":[0.9924131,0.004149096,0.002623867,0.00002234457,0.0006928037,0.00001267941,1.658884e-7,0.000005762201,0.00008016551],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03586741,"threshold_uncertainty_score":0.9997451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276865055023182,"score_gpt":0.2968662431686958,"score_spread":0.284097592618464,"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."}}