{"id":"W4386838242","doi":"10.3390/w15183277","title":"Lysimeter Sampling System for Optimal Determination of Trace Elements in Soil Solutions","year":2023,"lang":"en","type":"article","venue":"Water","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Suncor Energy Incorporated","keywords":"Lysimeter; Sampling (signal processing); Environmental science; TRACE (psycholinguistics); Computer science; Soil science; Soil water","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00401095,0.0009822063,0.001295973,0.001884026,0.001004523,0.001340348,0.001128404,0.001324328,0.004469827],"category_scores_gemma":[0.003226191,0.0006492043,0.0007534605,0.001729474,0.0006409226,0.001690786,0.001423822,0.001587663,0.003511495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006773446,"about_ca_system_score_gemma":0.001411925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009999932,"about_ca_topic_score_gemma":0.002778221,"domain_scores_codex":[0.9967716,0.0005858781,0.0003970648,0.0005926596,0.001458756,0.0001938934],"domain_scores_gemma":[0.9977766,0.000561923,0.0003566095,0.000228871,0.00100241,0.00007358011],"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":[0.00097807,0.0002134062,0.0119132,0.003046372,0.0001216217,0.0002461726,0.0008044609,0.001570259,0.8585575,0.004225316,0.008500653,0.109823],"study_design_scores_gemma":[0.00008436974,0.0006913994,0.01278077,0.0005294871,0.0002836548,0.0004724774,0.0007568212,0.009170581,0.8547589,0.002414329,0.1178924,0.0001648839],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1760098,0.01204055,0.7782087,0.001146936,0.001181372,0.00244756,0.008857247,0.006898124,0.01320959],"genre_scores_gemma":[0.2525591,0.01369063,0.7072704,0.001040172,0.0002672247,0.005049853,0.005849904,0.0008957644,0.01337708],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004469827,"threshold_uncertainty_score":0.02121216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0437175832235551,"score_gpt":0.2796154352380666,"score_spread":0.2358978520145115,"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."}}