{"id":"W6937183961","doi":"10.5885/45774ce-134b067ee2a54b11","title":"Soil volumetric water content and temperature data, Tasiapik Valley, Nunavik, Canada (2014-2021)","year":2023,"lang":"en","type":"dataset","venue":"Nordicana D","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Permafrost; Water content; Soil water; Hydrology (agriculture); Sample (material); Content (measure theory)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.000413903,0.001120883,0.0007210218,0.002592789,0.001335716,0.001726293,0.001754864,0.0006496555,0.01645968],"category_scores_gemma":[0.00237602,0.0004237813,0.0007520603,0.008470637,0.0004174047,0.0005458424,0.001099569,0.0008601709,0.01361972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008096253,"about_ca_system_score_gemma":0.01717934,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.957593,"about_ca_topic_score_gemma":0.9767035,"domain_scores_codex":[0.999499,0.00002873148,0.00003754546,0.0001198228,0.0001795473,0.0001354287],"domain_scores_gemma":[0.9978939,0.0001018911,0.0001155185,0.0001687313,0.001534848,0.0001852567],"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":[0.0001237014,0.00003704964,0.02009354,0.0007466002,0.0001147703,0.00009480339,0.000254963,0.001239135,0.0003356853,0.0008187171,0.9686465,0.007494568],"study_design_scores_gemma":[0.0001677684,0.00001381096,0.1077429,0.0006557498,0.00007042338,0.00008193051,0.001050988,0.00143534,0.0007884345,0.0006732928,0.8872296,0.00008968219],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007524758,0.00007601711,0.00003256072,0.0000340628,0.000008121322,0.000005354501,0.998428,0.00007891866,0.0005845186],"genre_scores_gemma":[0.002865019,0.00009603142,0.0002475539,0.00002128287,0.000002573861,0.00003333141,0.9955301,0.00003697366,0.001167216],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04240698,"threshold_uncertainty_score":0.08531338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03287260840603033,"score_gpt":0.2476494178528309,"score_spread":0.2147768094468006,"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."}}