{"id":"W2618951126","doi":"","title":"Video - Monitoring Soil Water Quality Using Trace Elements. Presentation by Dr. William Shotyk, ASSW 2012","year":2012,"lang":"en","type":"article","venue":"","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sampling (signal processing); TRACE (psycholinguistics); Environmental science; Water quality; Hydrology (agriculture); Geology; Computer science; Telecommunications; Philosophy; Ecology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006938782,0.0001564639,0.0001328238,0.00002282113,0.0001783313,0.00006733232,0.0001240102,0.00007880917,0.005328429],"category_scores_gemma":[0.00001514228,0.0001255551,0.00004556395,0.00007231658,0.00008677739,0.002078125,0.0001372309,0.00006848483,0.000799858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002750449,"about_ca_system_score_gemma":0.000002964778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002109179,"about_ca_topic_score_gemma":0.00006447564,"domain_scores_codex":[0.9983293,0.0001297679,0.0003713962,0.0002468089,0.0004096454,0.0005130678],"domain_scores_gemma":[0.9995184,0.00002204649,0.00009114099,0.0002240749,0.000007233202,0.0001370927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007877925,0.00003448625,0.5299816,0.000003981965,0.000006738476,8.537836e-8,0.0002120894,0.00006861024,0.4678079,0.000004955871,0.001359659,0.000512021],"study_design_scores_gemma":[0.0002555832,0.00001174171,0.2765053,0.000004385897,0.0000222361,0.000005408529,0.0001651499,0.0001168249,0.7100221,0.00007160613,0.01259741,0.0002222575],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950986,0.00003661004,0.001274232,0.00008327109,0.001619961,0.0001961055,0.000006677511,0.00007777385,0.001606798],"genre_scores_gemma":[0.9962677,0.000006259367,0.002437576,0.00003050648,0.000283835,0.00001649352,0.00001962478,0.0000199201,0.0009180201],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2534763,"threshold_uncertainty_score":0.9999781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03637164886440311,"score_gpt":0.3068655346927546,"score_spread":0.2704938858283514,"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."}}