{"id":"W6906653115","doi":"10.17605/osf.io/ef43j","title":"RAISE TSC Evaluation","year":2019,"lang":"en","type":"other","venue":"OSF Preprints (OSF Preprints)","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Field (mathematics); Work (physics); Margin (machine learning)","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":["insufficient_payload"],"category_scores_codex":[0.00194893,0.0004390508,0.0004151096,0.0003726952,0.00004333981,0.00009527087,0.0007496669,0.0004864956,0.8060735],"category_scores_gemma":[0.0003076847,0.0005254215,0.0001598444,0.0002069675,0.00004595561,0.0001325695,0.0003921534,0.0003693516,0.888941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002398298,"about_ca_system_score_gemma":0.00005922021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005295949,"about_ca_topic_score_gemma":0.00006181627,"domain_scores_codex":[0.9971424,0.0001959636,0.0004006826,0.00132083,0.0005842838,0.0003558925],"domain_scores_gemma":[0.996649,0.0000756435,0.0001752975,0.00292742,0.0000672662,0.0001054232],"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":[0.000008045504,0.00004489207,0.0001392746,0.000327816,0.0002335372,0.000002664868,0.0001836855,0.1188889,0.00002821076,0.0004975024,0.8524951,0.02715035],"study_design_scores_gemma":[0.0005130313,2.99449e-7,0.0001617906,0.0001690472,0.0001713508,0.000001601879,0.00002464255,0.12186,0.0000672533,0.0001960031,0.8763502,0.0004847404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005098785,0.00001184357,0.01621575,0.00003646642,0.001380455,0.001920368,0.00001399473,0.001198838,0.9791713],"genre_scores_gemma":[0.002058345,0.0004613617,0.001808103,0.00003502561,0.0002315569,0.0002608065,0.0002102935,0.0005459946,0.9943885],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08286754,"threshold_uncertainty_score":0.9997197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01167170375381911,"score_gpt":0.2336891887648304,"score_spread":0.2220174850110113,"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."}}