{"id":"W6969268528","doi":"10.5285/5bb560ee-15bf-4ab9-8c2e-3a76c688e69d","title":"Meteorological data for the Siksik catchment, North West Territories, Canada for 2013 and 2014","year":2016,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Arctic; North west; Evapotranspiration; Permafrost; Albedo (alchemy); Dew point; Wind speed; Climate change","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":[0.0004969415,0.001441271,0.001392854,0.003890839,0.001191035,0.001949337,0.002201834,0.0008827384,0.02882988],"category_scores_gemma":[0.003185058,0.0006300459,0.0008562403,0.01301363,0.0004636565,0.0008223499,0.001045104,0.001130364,0.02086434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008578227,"about_ca_system_score_gemma":0.0215054,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9205836,"about_ca_topic_score_gemma":0.9552453,"domain_scores_codex":[0.9992856,0.00003634619,0.00007148085,0.0001653739,0.0002672467,0.0001740345],"domain_scores_gemma":[0.9977798,0.0001603563,0.0001645567,0.0002046249,0.001452987,0.0002376553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000886163,0.00001858145,0.005209449,0.0007299893,0.00007631557,0.00004740986,0.00006841764,0.0007905986,0.00009914064,0.0005587135,0.9895231,0.002789572],"study_design_scores_gemma":[0.0002385986,0.000008468836,0.05148005,0.0005461079,0.00006980684,0.0000637236,0.0003510793,0.00100405,0.0004105331,0.0006549904,0.9450957,0.0000768896],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001876061,0.00004059306,0.00001399796,0.00001660384,0.000005347643,0.000004446211,0.999312,0.00004262433,0.0003767176],"genre_scores_gemma":[0.0008547261,0.0000780425,0.000103034,0.00001059386,0.000002184795,0.0000309416,0.9981409,0.00002263786,0.0007568992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07941639,"threshold_uncertainty_score":0.1597682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07235383724111047,"score_gpt":0.329789224037399,"score_spread":0.2574353867962885,"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."}}