{"id":"W2066693671","doi":"10.1007/s11270-005-0435-2","title":"Changes in Concentrations of Major Elements and Trace Metals in Northeastern U.S.-Canadian Sub-Alpine Forest Floors","year":2005,"lang":"en","type":"article","venue":"Water Air & Soil Pollution","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Maine Agricultural and Forest Experiment Station","keywords":"Transect; Forest floor; Environmental chemistry; Litter; Organic matter; Chemistry; Dry weight; Soil water; Environmental science; Geology; Ecology; Soil science; Botany; Oceanography; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001573692,0.000250835,0.0002317273,0.00131571,0.001585325,0.0008858158,0.0004946341,0.000311255,0.001096316],"category_scores_gemma":[0.0004274727,0.0001845263,0.0002191846,0.001921367,0.0005314245,0.000219642,0.0003441384,0.0002810564,0.0001479794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009671212,"about_ca_system_score_gemma":0.007057176,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9938732,"about_ca_topic_score_gemma":0.9979088,"domain_scores_codex":[0.9997848,0.000009123857,0.000008944588,0.00004163336,0.00007710949,0.00007841945],"domain_scores_gemma":[0.9993504,0.00002073708,0.00006325536,0.00001016742,0.0004721663,0.00008336834],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002700806,0.00003618422,0.9797565,0.0000379685,0.00009065466,0.0001195727,0.001073374,0.0004529635,0.005906262,0.0001407216,0.001219333,0.01089626],"study_design_scores_gemma":[0.000001449997,0.000004510702,0.9987434,0.000004163117,0.000008114316,0.00001394716,0.0004266291,0.0001211362,0.0001635908,0.000007906168,0.0005024198,0.00000288484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967948,0.0002126882,0.00005123333,0.00006600919,0.000003871134,0.000006790359,0.001167004,0.000009575668,0.001688041],"genre_scores_gemma":[0.9969025,0.0001973878,0.0001786782,0.00004185613,0.000002044678,0.000005925427,0.0008828617,0.000003405465,0.001785208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009671212,"threshold_uncertainty_score":0.07016987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008696556011260964,"score_gpt":0.2104879427394192,"score_spread":0.2017913867281582,"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."}}