{"id":"W6930282389","doi":"10.5281/zenodo.11957888","title":"cit 0407 pdf","year":2024,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Minor (academic); Process (computing); Of the form; Download; Calculator","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":["insufficient_payload"],"category_scores_codex":[0.0004130895,0.0002444811,0.0002112156,0.0005184097,0.0006052846,0.002279062,0.002882902,0.0001449338,0.05649672],"category_scores_gemma":[0.0001218203,0.000246478,0.0000881881,0.000742388,0.00007990446,0.0001548781,0.003612381,0.0004248869,0.2494033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009930758,"about_ca_system_score_gemma":0.000004951924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003569919,"about_ca_topic_score_gemma":4.313106e-7,"domain_scores_codex":[0.9979324,0.0001558116,0.0002248403,0.0007826895,0.0004493219,0.0004549244],"domain_scores_gemma":[0.9985793,0.0000124684,0.000114248,0.0009674941,0.0001426898,0.000183839],"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":[0.000001518984,0.00002745175,1.037136e-7,0.00009185021,0.0000465235,0.00004247657,0.0002874425,0.000005456798,0.00004915833,0.01357338,0.9216033,0.06427132],"study_design_scores_gemma":[0.0001367902,0.00006891753,0.000009030306,0.0001843528,0.00001148664,0.0001003902,0.00002269624,0.001589438,0.00001980594,0.0004686865,0.9971156,0.0002728003],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000006040601,0.0005177956,0.04212266,0.0005239279,0.0006423149,0.0002332585,0.00004599841,0.003515825,0.9523922],"genre_scores_gemma":[0.001167787,0.0001311772,0.003735055,0.0002756619,0.0008754468,3.177466e-8,0.0003793461,0.009318899,0.9841166],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1929066,"threshold_uncertainty_score":0.9999987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03050066990305622,"score_gpt":0.2409398517915679,"score_spread":0.2104391818885117,"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."}}