{"id":"W6964817819","doi":"10.26023/5564-b9dv-f314","title":"WSR-88D KENX Level2 data in cfradial format. Daily tar archives with CIDD/JADE directory structure.. Version 1.0","year":2014,"lang":"en","type":"dataset","venue":"Open MIND","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Directory; Data file; Data set; tar (computing); Data archive; Set (abstract data type)","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":[0.0008499264,0.00139337,0.001115899,0.003179629,0.0009509524,0.001925086,0.002617327,0.001131592,0.08659182],"category_scores_gemma":[0.004018293,0.0008820993,0.0008682933,0.005826554,0.0004512625,0.001322418,0.002176741,0.00135038,0.1098383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00257318,"about_ca_system_score_gemma":0.003829459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1801631,"about_ca_topic_score_gemma":0.2809395,"domain_scores_codex":[0.9991803,0.00007007552,0.0001021799,0.0001989587,0.0002496908,0.0001988788],"domain_scores_gemma":[0.9978586,0.0002900281,0.000232798,0.0005294163,0.000836403,0.0002527765],"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":[0.00002920506,0.000008411369,0.0008782051,0.0002290748,0.00001373107,0.000009941251,0.00002727387,0.00008820662,0.0001216396,0.0002445111,0.9974172,0.0009325938],"study_design_scores_gemma":[0.0001231483,0.00001091273,0.01336306,0.0002196079,0.00002212279,0.00003128047,0.0002129183,0.0002260567,0.0005420631,0.0006045387,0.9846112,0.00003308496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001034479,0.00001045209,0.00002970755,0.00002436032,0.00001018733,0.000005930945,0.9991431,0.0001705877,0.0005022701],"genre_scores_gemma":[0.0002444694,0.00001360753,0.0001037028,0.00001383115,0.000003060006,0.00003738189,0.9987747,0.000073264,0.0007359068],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1801631,"threshold_uncertainty_score":0.358229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04625675634349082,"score_gpt":0.2495339582367741,"score_spread":0.2032772018932833,"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."}}