{"id":"W6926097034","doi":"10.18739/a2p08d","title":"Cloud microphysical properties at Arctic atmospheric observatories: Eureka, Canada","year":2017,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"Information Architecture and Usability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cloud computing; Arctic; The arctic; Atmosphere (unit); Cloud cover; Precipitation","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":[0.0005894512,0.002443947,0.001555074,0.004145023,0.001418221,0.001935079,0.003041627,0.001480273,0.01016301],"category_scores_gemma":[0.003231835,0.0007407435,0.00150831,0.008564037,0.0005780995,0.0008560761,0.001572701,0.001424249,0.01531107],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004762948,"about_ca_system_score_gemma":0.01046621,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8105741,"about_ca_topic_score_gemma":0.8877103,"domain_scores_codex":[0.9993487,0.00003335849,0.00005467796,0.0001496572,0.0002197428,0.0001937537],"domain_scores_gemma":[0.9979908,0.0001771316,0.0001399821,0.0003610698,0.001088237,0.0002426625],"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":[0.0001130804,0.00004619273,0.009341004,0.0004925772,0.0001274893,0.00007366998,0.00007570807,0.001669215,0.0002636211,0.0002964973,0.9828771,0.004623896],"study_design_scores_gemma":[0.0004372275,0.00002502929,0.1375495,0.0008711282,0.0002059817,0.0001902332,0.0006147856,0.004028557,0.001460216,0.001022253,0.8534641,0.0001309835],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001182252,0.00009267015,0.00004352289,0.00003466894,0.00001332236,0.00001099491,0.9980456,0.0001880253,0.0003889713],"genre_scores_gemma":[0.001894291,0.0000875913,0.0001588756,0.00001274563,0.000004656455,0.00003238249,0.9972362,0.00003426979,0.0005390241],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1894259,"threshold_uncertainty_score":0.381083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01498213699931074,"score_gpt":0.2232405661036983,"score_spread":0.2082584291043875,"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."}}