{"id":"W125780422","doi":"10.21236/ada416817","title":"On-Site Processing and Subsampling of Surface Soil Samples for the Analysis of Explosives","year":2003,"lang":"en","type":"report","venue":"","topic":"Water Quality and Resources Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of National Defence","funders":"","keywords":"Explosive material; Sampling (signal processing); Environmental science; Soil water; Grinding; Soil test; Representativeness heuristic; Ranking (information retrieval); Residue (chemistry); Soil science; Computer science; Materials science; Statistics; Mathematics; Chemistry; Composite material; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00106651,0.0008380301,0.001258021,0.003421062,0.001321081,0.001152676,0.001137789,0.0006238605,0.01733741],"category_scores_gemma":[0.002180134,0.0003767774,0.0008787279,0.002758858,0.0002815005,0.0004337725,0.0005668687,0.0008600062,0.009643625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003299492,"about_ca_system_score_gemma":0.00150889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00832306,"about_ca_topic_score_gemma":0.03098121,"domain_scores_codex":[0.9986116,0.0001327885,0.0001355465,0.000319266,0.0006721226,0.0001286504],"domain_scores_gemma":[0.9982247,0.0002122581,0.0001446288,0.00031038,0.000988839,0.0001192512],"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":[0.000526265,0.000699737,0.01999178,0.0004686513,0.00006355444,0.0003478226,0.0003778322,0.0006474713,0.7870497,0.0002691672,0.009499453,0.1800587],"study_design_scores_gemma":[0.0002205336,0.003664744,0.363812,0.0003270413,0.0003800983,0.001521238,0.001609022,0.006677872,0.4723328,0.001114631,0.1482149,0.0001250154],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.501605,0.0009569874,0.3512671,0.0003748333,0.001097914,0.0157707,0.06814025,0.004309272,0.05647809],"genre_scores_gemma":[0.2638168,0.002980247,0.5809289,0.0007658423,0.0003509466,0.008538383,0.093062,0.002315562,0.04724146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01733741,"threshold_uncertainty_score":0.05799943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1599297709282671,"score_gpt":0.3092200496830725,"score_spread":0.1492902787548054,"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."}}