{"id":"W2182984553","doi":"","title":"ECOLOGICAL IMPORTANCE OF MINERAL LICKS IN THE TUCHODI WATERSHED, NORTH-CENTRAL BRITISH COLUMBIA","year":2004,"lang":"en","type":"article","venue":"","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Watershed; Ecology; Geography; Environmental science; Hydrology (agriculture); Geology; 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":[0.0002198643,0.0001902183,0.0003702449,0.001708872,0.002883586,0.001591402,0.0007926901,0.0004336077,0.001431312],"category_scores_gemma":[0.0009091425,0.0002470879,0.0001486442,0.002663407,0.001324971,0.0003518239,0.001110482,0.000438436,0.0001682154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009530287,"about_ca_system_score_gemma":0.007081627,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.962891,"about_ca_topic_score_gemma":0.993098,"domain_scores_codex":[0.9996049,0.00005249122,0.00001623202,0.00005572559,0.00008574602,0.000184866],"domain_scores_gemma":[0.9991453,0.00008296564,0.0001076029,0.0000205916,0.0003636813,0.0002799746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002478764,0.00011833,0.9794774,0.00005293194,0.00005993903,0.0005794229,0.004121665,0.0002883201,0.003570707,0.0002091164,0.0006767616,0.01059762],"study_design_scores_gemma":[0.000003850862,0.00001620757,0.9907601,0.00001653238,0.00001226399,0.0000857949,0.008129276,0.0002971462,0.0001075923,0.00003603926,0.0005288598,0.000006435998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987452,0.00007677364,0.00001706746,0.00004520307,0.000001196782,0.000006486633,0.00009926545,0.000002637737,0.001006229],"genre_scores_gemma":[0.9987156,0.000091824,0.00004744814,0.00002008605,8.993784e-7,0.000005021231,0.0000914695,0.000001635509,0.001025889],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03710902,"threshold_uncertainty_score":0.07465506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009597681287947827,"score_gpt":0.2033534552096981,"score_spread":0.1937557739217503,"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."}}