{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001687924,0.0005522839,0.0004474421,0.0005870673,0.0002398704,0.0007917691,0.001692198,0.000455174,0.000200112],"category_scores_gemma":[0.0001018635,0.0004440786,0.0001308689,0.0005231203,0.0001611629,0.00445392,0.0008806158,0.0003944895,0.0154587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004193894,"about_ca_system_score_gemma":0.0003007452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002440134,"about_ca_topic_score_gemma":0.000003671574,"domain_scores_codex":[0.996793,0.0001338444,0.0008253815,0.0009917783,0.0007293104,0.0005267038],"domain_scores_gemma":[0.9973028,0.0001999447,0.0008617713,0.001192021,0.0003049024,0.0001385873],"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":[0.00004225842,0.0000523064,0.0006894462,0.0002434891,0.00008227675,0.0000398827,0.000006800036,8.047365e-7,0.00001212047,0.0001988106,0.9934671,0.00516471],"study_design_scores_gemma":[0.000388918,0.0000893482,0.00004424034,0.0005444455,0.00001915173,0.00003781919,0.00001328486,0.00003507155,0.0004674571,0.0003259755,0.9974966,0.0005377082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008813534,0.0001137991,0.01318157,0.0002834341,0.001153507,0.0007007584,0.9828277,0.0006736054,0.0009774502],"genre_scores_gemma":[0.0005246883,0.00002115618,0.0005546919,0.0002161161,0.0003014,0.0001889852,0.9970142,0.0000346323,0.001144096],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01525859,"threshold_uncertainty_score":0.9998011,"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."}}