{"id":"W2508439080","doi":"","title":"RTEMP: Exploring an end-to-end, agnostic platform for multidisciplinary real-time analytics in the space physics community and beyond","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Big Data Technologies and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Analytics; Multidisciplinary approach; Data science; Computer science; Space (punctuation); Physics; Sociology; Operating system; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005633584,0.0001792889,0.0002905982,0.0001415337,0.0008114506,0.0002695296,0.001475524,0.00009157683,0.000002906594],"category_scores_gemma":[0.003175956,0.0001235523,0.00005619411,0.0005554476,0.0001482508,0.0004642981,0.0007168865,0.0003443169,0.00006281095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002888552,"about_ca_system_score_gemma":0.00001854619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001918574,"about_ca_topic_score_gemma":0.005011305,"domain_scores_codex":[0.9981167,0.000205904,0.0004556285,0.0004006118,0.0004582616,0.0003628369],"domain_scores_gemma":[0.9912192,0.006954961,0.0002162497,0.001397316,0.0001170822,0.0000951905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001449315,0.001099734,0.1234626,0.000118616,0.00006090537,0.000007031075,0.03581525,0.008266728,0.01965045,0.09106086,0.03313719,0.6871756],"study_design_scores_gemma":[0.002109972,0.001325675,0.1500923,0.0003042428,0.0001383137,0.00002081484,0.1146596,0.3903726,0.003286131,0.3047341,0.03138206,0.001574222],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882592,0.0000186142,0.006879138,0.002143288,0.00006473692,0.0004679893,0.00007472486,0.00008863053,0.002003691],"genre_scores_gemma":[0.9817055,0.00004833428,0.01773432,0.0001465211,0.000109328,0.0001529234,0.00004351747,0.00001704208,0.00004246448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6856014,"threshold_uncertainty_score":0.6241105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2438440652087375,"score_gpt":0.3729799717944513,"score_spread":0.1291359065857138,"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."}}