{"id":"W4245291276","doi":"10.26522/ti.v2i1.767","title":"Rehkitz","year":2013,"lang":"en","type":"article","venue":"ti<","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003619048,0.00002782056,0.00003057005,0.00001684782,0.00001349438,0.000013236,0.00005774858,0.00001314666,0.007930637],"category_scores_gemma":[0.00001887414,0.00002385672,0.00001115167,0.00005904246,0.00001392576,0.0000714652,0.00001606492,0.00002837028,0.6083929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001303009,"about_ca_system_score_gemma":0.000004740723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001436326,"about_ca_topic_score_gemma":0.000004943659,"domain_scores_codex":[0.9997454,0.000008724121,0.00003551946,0.00005425623,0.00006162369,0.00009452344],"domain_scores_gemma":[0.9997826,0.000007477172,0.00001063565,0.0001478596,0.00001865496,0.00003274882],"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":[0.000001257145,0.00001643173,0.002079461,0.000001720737,0.000004335748,0.000002103479,0.0001000452,0.00000114972,0.03889057,0.001415593,0.9532794,0.004207916],"study_design_scores_gemma":[0.0003094871,0.00002627254,0.1587932,0.000006937377,0.000006156272,0.000008363872,0.00004260131,0.0003610472,0.008390234,0.004874715,0.8270212,0.0001597666],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7111436,0.00002979411,0.000004454333,0.000230634,0.00004438702,0.00007188963,0.000001936542,0.000166192,0.2883071],"genre_scores_gemma":[0.9797561,2.884552e-7,0.0003706201,0.0001203412,0.00005810823,0.00001126847,0.00000213348,0.00002087471,0.0196603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6004623,"threshold_uncertainty_score":0.9929762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00906199115897281,"score_gpt":0.2112116651585081,"score_spread":0.2021496739995353,"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."}}