{"id":"W4394355449","doi":"10.6084/m9.figshare.4426565","title":"dataset.zip","year":2016,"lang":"en","type":"dataset","venue":"Figshare","topic":"Data Analysis with R","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007907775,0.0003457681,0.0003588554,0.0002378704,0.00009007708,0.000454811,0.006916571,0.0002523971,0.3388978],"category_scores_gemma":[0.0009505391,0.0002587312,0.0001159628,0.000377974,0.000007089842,0.0008062687,0.003054507,0.0003000669,0.1559912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005668175,"about_ca_system_score_gemma":0.0002009814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002507458,"about_ca_topic_score_gemma":0.00005072225,"domain_scores_codex":[0.9977288,0.00007268279,0.0002921393,0.0009069064,0.0005716689,0.0004278254],"domain_scores_gemma":[0.9946153,0.0001900818,0.0002992933,0.004618363,0.00008708143,0.0001899244],"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":[4.40586e-7,0.00001570636,3.931942e-8,0.00008501971,0.00003556853,0.00011344,7.971714e-7,1.56132e-7,2.053232e-7,0.000003831847,0.9978157,0.001929088],"study_design_scores_gemma":[0.00009052997,0.00001491172,0.000004245341,0.0009374922,0.00001800734,0.00001486653,1.646315e-7,0.00004060867,0.000008864074,0.00002680702,0.998463,0.0003805215],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[7.392059e-10,0.0001552633,0.00005573867,0.0001727852,0.0001671666,0.0001233022,0.9991317,0.00008152967,0.0001125361],"genre_scores_gemma":[3.562807e-8,0.00001198949,0.0002269124,0.001028016,0.000353622,0.0001183366,0.9979874,0.00001313907,0.000260576],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1829067,"threshold_uncertainty_score":0.9999865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04173792729047336,"score_gpt":0.286572155809911,"score_spread":0.2448342285194376,"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."}}