{"id":"W6950585662","doi":"10.5285/a37e6aa4-b003-49bd-9a16-619a7d0dd714","title":"Soil pH and bulk density depth profiles in the Siksik catchment, North West Territories, Canada","year":2016,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permafrost; Transect; Arctic; North west; Bulk density; Hydrology (agriculture); Greenhouse gas; Soil horizon; Soil pH","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":[0.0004601552,0.0008829861,0.001055935,0.003673392,0.001104213,0.001535293,0.001856582,0.0006344398,0.01223156],"category_scores_gemma":[0.002272741,0.0004179267,0.000805124,0.01173658,0.000433561,0.0005441233,0.0009706226,0.0006783,0.00495971],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01012176,"about_ca_system_score_gemma":0.0209897,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9734901,"about_ca_topic_score_gemma":0.9864487,"domain_scores_codex":[0.999474,0.00002290358,0.00006410874,0.0001221512,0.0001653071,0.0001516468],"domain_scores_gemma":[0.9980863,0.0001642098,0.0001966665,0.0001487462,0.001152421,0.0002516387],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005285135,0.00008651417,0.09154658,0.00319413,0.0003981301,0.0002999788,0.000612752,0.002429179,0.0005592862,0.001300469,0.8855366,0.01350791],"study_design_scores_gemma":[0.0004225478,0.00002485803,0.5064089,0.001451543,0.0001909793,0.000208888,0.001951884,0.001765414,0.0008097189,0.0005851585,0.4860398,0.0001402092],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002611943,0.00009988311,0.00001856203,0.0000244576,0.000004860823,0.00001218292,0.996601,0.00003562379,0.0005915139],"genre_scores_gemma":[0.01030256,0.0002402194,0.0002091725,0.00002429174,0.000003756626,0.00008325545,0.9876446,0.00003067003,0.00146142],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02650988,"threshold_uncertainty_score":0.07343888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367983942859497,"score_gpt":0.2721356160561986,"score_spread":0.2484557766276037,"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."}}