{"id":"W6969031515","doi":"10.5683/sp3/3ls2v6","title":"2001 Weather Data","year":2013,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Electric (Canada)","funders":"","keywords":"Calibration; Precipitation; Weather forecasting; Surface weather observation; Wind speed; Weather station","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":[0.001160371,0.002237845,0.001639876,0.003326911,0.0007690272,0.001571249,0.002358814,0.001298968,0.03695695],"category_scores_gemma":[0.004934109,0.0006014457,0.001099969,0.007766964,0.0003518561,0.001316692,0.001156124,0.001640781,0.07423692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00161517,"about_ca_system_score_gemma":0.002320488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04845909,"about_ca_topic_score_gemma":0.08386091,"domain_scores_codex":[0.9984469,0.000192416,0.0002197225,0.0004350966,0.0005187162,0.0001872273],"domain_scores_gemma":[0.9975038,0.0002979416,0.0002325941,0.0006792692,0.001092022,0.0001944197],"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":[0.00006174866,0.00002474828,0.001371689,0.000281771,0.00003005614,0.00002353595,0.00002077284,0.0004212843,0.0001423386,0.0002311368,0.9952077,0.002183114],"study_design_scores_gemma":[0.0001599998,0.00001794128,0.01582721,0.0001631059,0.00004688534,0.00008765626,0.00008584533,0.0008839703,0.0005543014,0.0006092779,0.9815109,0.00005276208],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003118703,0.0000455279,0.00007103755,0.00003756298,0.00002504005,0.00001248568,0.9982464,0.000326461,0.0009235567],"genre_scores_gemma":[0.0004225371,0.00002802646,0.0001535084,0.00001832156,0.000004531519,0.00002557647,0.9989987,0.00003423012,0.0003146549],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04845909,"threshold_uncertainty_score":0.1236333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07885983863691536,"score_gpt":0.3179705147769573,"score_spread":0.2391106761400419,"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."}}