{"id":"W4381273585","doi":"10.5281/zenodo.8058359","title":"sadsa","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Statistical and Computational Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Adidas (Canada)","funders":"","keywords":"Computer 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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003424257,0.00006789071,0.00006540764,0.0001612574,0.001236661,0.0006801029,0.00111284,0.00002279782,0.001175244],"category_scores_gemma":[0.0002954917,0.00006941956,0.00002706089,0.0008796559,0.00004329674,0.0002251791,0.001228012,0.0001069253,0.023747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003595609,"about_ca_system_score_gemma":0.00000228147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003281829,"about_ca_topic_score_gemma":1.960542e-8,"domain_scores_codex":[0.9989095,0.0001041494,0.0001344273,0.000293997,0.0003082691,0.0002495977],"domain_scores_gemma":[0.9992689,0.00004807523,0.00003006753,0.0002667044,0.0002736011,0.0001126898],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005555501,0.00003290044,7.46584e-7,0.0000146134,0.00001165638,0.00002344584,0.0005125551,0.001483615,0.0005195963,0.4322262,0.1439091,0.4212601],"study_design_scores_gemma":[0.0001959273,0.00007870993,0.0007829801,0.00001044886,0.00000208029,0.00004943164,0.00004449012,0.2305978,0.00007914146,0.02992565,0.738102,0.0001314394],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002938137,0.00001538717,0.9395453,0.002056085,0.0001236571,0.000114604,0.00003264836,0.00226128,0.05291291],"genre_scores_gemma":[0.9837245,0.00002672419,0.0132901,0.0005183586,0.0001678922,3.653748e-8,0.0006250656,0.0005885214,0.001058841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9807863,"threshold_uncertainty_score":0.9997378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05767832909703348,"score_gpt":0.2645754535849194,"score_spread":0.2068971244878859,"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."}}