{"id":"W6944487154","doi":"10.18739/a2k641","title":"Millimeter Cloud Radar Deployed at Eureka Nunavut Canada - Raw Data Files","year":2016,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Raw data; Cloud computing; Radar; Arctic; Millimeter","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.000928467,0.002049479,0.001975496,0.0004896134,0.0005774522,0.0002483831,0.008517371,0.001034273,0.01568689],"category_scores_gemma":[0.0009549913,0.001670673,0.0002890806,0.0006212998,0.0004864734,0.0005831792,0.00569271,0.001332065,0.02292081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002456659,"about_ca_system_score_gemma":0.003743215,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6369597,"about_ca_topic_score_gemma":0.9337043,"domain_scores_codex":[0.9894058,0.0008095777,0.001530728,0.003319509,0.002642882,0.002291542],"domain_scores_gemma":[0.983922,0.001043106,0.001055782,0.01276587,0.0002048946,0.001008363],"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":[0.0003387058,0.00009854075,0.0001789639,0.0002418749,0.000772848,0.001256286,0.00001018603,7.313269e-7,0.0009525366,0.00000161223,0.9959553,0.000192367],"study_design_scores_gemma":[0.001646583,0.00006223984,0.0003168979,0.0005152426,0.0009954016,0.0002494983,0.00001562555,0.00001616334,0.0006792019,0.00001313352,0.993208,0.002282041],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001113088,0.005709015,0.000002831753,0.00015922,0.004945161,0.001197174,0.9862657,0.0003214187,0.0002864019],"genre_scores_gemma":[0.0001524943,0.001513957,0.0001526905,0.00150998,0.003180908,0.00008163208,0.9906517,0.0007749647,0.001981719],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2967446,"threshold_uncertainty_score":0.9992247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02723795660494881,"score_gpt":0.2590953752953636,"score_spread":0.2318574186904148,"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."}}