{"id":"W6913071467","doi":"10.5683/sp3/ibbdtf","title":"The measurement of mean wind, variances and covariances from an instrumented mobile car in a rural environment","year":2022,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Measure (data warehouse); Data collection; Variance (accounting); Work (physics); Observational error","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":[0.00150878,0.00235993,0.001498322,0.00185709,0.000770578,0.001633696,0.002890878,0.002562107,0.01149596],"category_scores_gemma":[0.00494746,0.0006600901,0.001669504,0.003710232,0.0006395259,0.001174814,0.001723469,0.001947084,0.02925645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009680479,"about_ca_system_score_gemma":0.00190695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05497153,"about_ca_topic_score_gemma":0.1085024,"domain_scores_codex":[0.9987597,0.0001928072,0.0001123165,0.0003151901,0.0004021149,0.000217935],"domain_scores_gemma":[0.9978164,0.0004070013,0.0001780494,0.0006866585,0.0007201611,0.0001917027],"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":[0.000169231,0.0001109789,0.005727554,0.0006815859,0.000131017,0.00008480634,0.00005618795,0.002134452,0.0005852379,0.000390359,0.984273,0.005655624],"study_design_scores_gemma":[0.0007975299,0.0001490304,0.06848124,0.0004915525,0.0001589115,0.0003242881,0.0005176887,0.006587894,0.00258958,0.002647754,0.9170253,0.0002292247],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002023719,0.0000992142,0.0002778336,0.0001414187,0.0001230514,0.00001662702,0.9957358,0.0008921521,0.0006901513],"genre_scores_gemma":[0.0032304,0.00005065457,0.0005834898,0.0000417696,0.00002105233,0.00004054186,0.9954385,0.00007751919,0.0005160335],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05497153,"threshold_uncertainty_score":0.1093032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01866958868161782,"score_gpt":0.2422478612720579,"score_spread":0.2235782725904401,"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."}}