{"id":"W6907205502","doi":"10.18739/a2tb83","title":"Precipitation Occurrence Sensor System measurements taken at Summit Station, Greenland, 2016","year":2016,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snow; Precipitation; NetCDF; Summit; Radar; Arctic; Doppler radar; Reflectivity","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":[0.0006876319,0.001523402,0.0008368161,0.002230823,0.0005510747,0.0009893568,0.001800805,0.0008762797,0.009273887],"category_scores_gemma":[0.00224682,0.0003822387,0.0006583673,0.00467872,0.0003127786,0.0008005683,0.001028924,0.0009970018,0.01992381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001378363,"about_ca_system_score_gemma":0.002367267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06951443,"about_ca_topic_score_gemma":0.1215406,"domain_scores_codex":[0.9994045,0.00005415044,0.00008251335,0.000160672,0.0002124249,0.00008563397],"domain_scores_gemma":[0.9989961,0.0001167599,0.0001248562,0.000240715,0.0004107167,0.00011096],"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":[0.0001314633,0.00007478725,0.007037193,0.0003406002,0.00004444075,0.00006233781,0.00005099221,0.0008696725,0.0004485015,0.0003425775,0.9851135,0.005483998],"study_design_scores_gemma":[0.0002890606,0.00005562336,0.05753416,0.000285132,0.0000424803,0.0001252391,0.0003157583,0.002042142,0.001826091,0.0008688665,0.9365624,0.00005315931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00114863,0.0000335124,0.00004918765,0.00004399424,0.00002049365,0.00001107325,0.9979664,0.0001890184,0.0005378598],"genre_scores_gemma":[0.0009314052,0.00002673072,0.0001303593,0.0000133964,0.000004007389,0.00002578663,0.9984387,0.00001681394,0.0004128303],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06951443,"threshold_uncertainty_score":0.1382196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02615425812656064,"score_gpt":0.2399951607408574,"score_spread":0.2138409026142968,"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."}}