{"id":"W6927351398","doi":"10.26023/zh57-xf2n-t907","title":"Millersville WEATHERPAK Data. Version 1.0","year":2014,"lang":"en","type":"dataset","venue":"Earth Observing Laboratory","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wind speed; Weather station; Automatic weather station; Air temperature; Weather forecasting","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":[0.0007638886,0.001656241,0.001193849,0.003215688,0.000715984,0.001756307,0.00279684,0.0013775,0.0507984],"category_scores_gemma":[0.004570127,0.0005270023,0.0008268582,0.007159782,0.0003530608,0.001398617,0.001538644,0.001594253,0.08226658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001887016,"about_ca_system_score_gemma":0.003058755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1667517,"about_ca_topic_score_gemma":0.293211,"domain_scores_codex":[0.9990043,0.0001310023,0.0001127309,0.0002612111,0.0003146084,0.0001760825],"domain_scores_gemma":[0.9980898,0.0003313157,0.0001735377,0.0004185823,0.0008149189,0.0001717562],"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":[0.00002045791,0.00001031485,0.0006309403,0.0001785878,0.00001194201,0.00001161957,0.00001559306,0.0001687823,0.00004816648,0.0002232054,0.9974629,0.001217514],"study_design_scores_gemma":[0.0000904721,0.000007633638,0.005194804,0.0001567054,0.00001524296,0.00002976065,0.00009260274,0.0005289399,0.0002014648,0.0005872035,0.993064,0.00003113498],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001288042,0.00003452185,0.0000441863,0.00004013012,0.00001317165,0.000006502289,0.9988127,0.00025343,0.0006665873],"genre_scores_gemma":[0.0002489311,0.00002221328,0.000126065,0.00001888274,0.000003641366,0.00002629408,0.9990209,0.00004401919,0.0004889899],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1667517,"threshold_uncertainty_score":0.3315622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03324134411953836,"score_gpt":0.2688917517247045,"score_spread":0.2356504076051661,"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."}}