{"id":"W6908468477","doi":"10.26023/d9w9-w7fh-ah05","title":"WINTRE-MIX: CFI Climate Sentinels Pyranometer and Radiation Data. Version 1.0","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal; McGill University","funders":"","keywords":"Pyranometer; Radiation; NetCDF; Table (database); Instrumentation (computer programming); Earth's energy budget","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":[0.001148161,0.00226307,0.001294721,0.002812906,0.0006326438,0.001897107,0.003205535,0.002085685,0.04832008],"category_scores_gemma":[0.00379588,0.0007303913,0.00123568,0.005361828,0.0003746318,0.001413767,0.001714389,0.001791295,0.07956083],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377015,"about_ca_system_score_gemma":0.00187492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03680264,"about_ca_topic_score_gemma":0.05602837,"domain_scores_codex":[0.99907,0.0001550353,0.0001114809,0.0002571685,0.0002349242,0.0001713265],"domain_scores_gemma":[0.9982492,0.0003494287,0.0002296641,0.0003889826,0.000584405,0.0001983211],"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":[0.00006303423,0.00002300985,0.001497187,0.0004866109,0.00003944705,0.00002713973,0.00002456401,0.0006277177,0.0001531405,0.0004343699,0.9945801,0.002043638],"study_design_scores_gemma":[0.000296145,0.00002419873,0.009347606,0.0003029017,0.00004023078,0.00006143864,0.00009820265,0.001121716,0.0005921702,0.001730979,0.9863253,0.00005913479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008980918,0.00001674772,0.00004661955,0.00002243973,0.00001060949,0.00000536548,0.9994653,0.0001329956,0.0002101665],"genre_scores_gemma":[0.0002770594,0.00001471045,0.0001609649,0.00001794362,0.00000363526,0.00003339991,0.999186,0.00004552597,0.0002607603],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04832008,"threshold_uncertainty_score":0.1616468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05339230695375773,"score_gpt":0.337210606826531,"score_spread":0.2838182998727732,"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."}}