{"id":"W6927378688","doi":"10.26023/km0f-1xv5-x60z","title":"CliC (MAGS): BERMS Surface Meteorology and Radiation Data Set. Version 1.0","year":2011,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Actinomycetales infections and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"NetCDF; Data set; Data file; Snow; Albedo (alchemy); Snowmelt; ASCII; Outgoing longwave radiation","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0009948006,0.002298355,0.001555364,0.003037938,0.0006365472,0.001729049,0.003133943,0.001809077,0.03007783],"category_scores_gemma":[0.00362392,0.0007332647,0.001116355,0.006080729,0.0003258186,0.001195298,0.001269441,0.001790672,0.04978861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001847913,"about_ca_system_score_gemma":0.002437034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04125376,"about_ca_topic_score_gemma":0.04927208,"domain_scores_codex":[0.9992583,0.0001043047,0.0001155487,0.0002116291,0.0001871338,0.0001229859],"domain_scores_gemma":[0.9985271,0.0002613633,0.0002150385,0.0003210099,0.0004992944,0.0001761119],"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":[0.00005542341,0.00003025961,0.001621034,0.0003702743,0.00003331612,0.00002492622,0.00001850513,0.0005772986,0.00008196199,0.0002367965,0.9952431,0.001707021],"study_design_scores_gemma":[0.0004269478,0.00003417529,0.02133539,0.0002448843,0.00005318777,0.0001012882,0.0001249173,0.002164024,0.0007425119,0.0009618775,0.9737502,0.00006051124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001830988,0.00002626941,0.00003389391,0.0000326949,0.00001249133,0.000007256707,0.9992931,0.0002054168,0.0002057499],"genre_scores_gemma":[0.000370676,0.00001746511,0.0001118279,0.00001527803,0.000004025527,0.00003197953,0.9992257,0.00002605701,0.0001968935],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04125376,"threshold_uncertainty_score":0.1006203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09299372217311767,"score_gpt":0.3673031678455649,"score_spread":0.2743094456724472,"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."}}