{"id":"W6963737880","doi":"10.18739/a2c824f6g","title":"Precipitation Occurrence Sensor System measurements taken at Summit Station, Greenland, 2013","year":2013,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Handwritten Text Recognition Techniques","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001740749,0.0006258721,0.0005498163,0.0004248194,0.000206888,0.002177242,0.001803349,0.0004172025,0.000483291],"category_scores_gemma":[0.00005897551,0.0005771755,0.0001977853,0.0005029579,0.00009986386,0.00469568,0.0009154658,0.0003634852,0.02768359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002090048,"about_ca_system_score_gemma":0.0002264355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000019536,"about_ca_topic_score_gemma":0.000005853567,"domain_scores_codex":[0.9963134,0.000184361,0.0009005411,0.001025789,0.001004026,0.0005718782],"domain_scores_gemma":[0.9973018,0.0001913493,0.0006624392,0.001173881,0.0002775835,0.0003930068],"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":[0.00001069358,0.00006374459,0.0004225708,0.0005028025,0.00004746034,0.00002398117,0.000006759065,0.000001075333,0.000001483805,0.00001026576,0.9873133,0.01159586],"study_design_scores_gemma":[0.000269603,0.00008384945,0.00003049332,0.0003971178,0.00002738808,0.00002997666,0.00001229605,0.0001719374,0.000304379,0.0003115317,0.9976684,0.0006930315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004920461,0.0002828792,0.01622714,0.0001324725,0.0003954452,0.001365854,0.9796503,0.001151415,0.0007453168],"genre_scores_gemma":[0.0001268956,0.0001061454,0.003874827,0.0002921029,0.0002293932,0.0005401471,0.9942076,0.00004172304,0.0005811906],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0272003,"threshold_uncertainty_score":0.9996679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02678733159809471,"score_gpt":0.2267797691647182,"score_spread":0.1999924375666235,"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."}}