{"id":"W6927455731","doi":"10.26023/gr1k-qds4-nk11","title":"WINTRE-MIX: CFI Climate Sentinels Pressure, Wind, Temperature, Relative Humidity, and Precipitation Data. Version 1.0","year":2022,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec à Montréal; McGill University","funders":"","keywords":"Precipitation; NetCDF; Climate change; Wind speed; Climate model; Climate system","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":[0.001171642,0.002379624,0.00120876,0.002352045,0.0006597821,0.001485579,0.003400047,0.002176249,0.02497999],"category_scores_gemma":[0.003455227,0.0005936094,0.00114309,0.003994237,0.000403621,0.00136677,0.001777482,0.001617814,0.04919783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001282841,"about_ca_system_score_gemma":0.00174469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03023882,"about_ca_topic_score_gemma":0.05419424,"domain_scores_codex":[0.9990253,0.0001756107,0.000114598,0.0002920759,0.0002343228,0.0001579968],"domain_scores_gemma":[0.9985855,0.0002984451,0.0001634324,0.0003516207,0.0004241064,0.0001769396],"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":[0.00008444392,0.00003612849,0.001733222,0.0005429484,0.00004231893,0.00003457418,0.00003050811,0.0007027148,0.0002555105,0.0003895628,0.9939343,0.002213871],"study_design_scores_gemma":[0.0003831318,0.00004680329,0.01352259,0.0003514032,0.00005672074,0.0001100704,0.0001705996,0.00215895,0.001075857,0.001992949,0.9800476,0.00008323125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002422767,0.00002965744,0.00007950067,0.0000364255,0.00002079125,0.000009506699,0.9990506,0.0002299044,0.000301355],"genre_scores_gemma":[0.0003895284,0.00001720955,0.0002099807,0.00002065181,0.00000397347,0.00003454937,0.999057,0.00003202821,0.0002351168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03023882,"threshold_uncertainty_score":0.08356637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0531015834918071,"score_gpt":0.3440982979654636,"score_spread":0.2909967144736565,"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."}}