{"id":"W4393716522","doi":"10.5281/zenodo.3576157","title":"10.5281/zenodo.3576157","year":2019,"lang":"en","type":"dataset","venue":"DergiPark (Istanbul University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001197942,0.003755039,0.001581977,0.003579736,0.001034511,0.002821838,0.00343234,0.00252256,0.2030265],"category_scores_gemma":[0.003902961,0.0009658837,0.001662039,0.005961441,0.0007776883,0.002269837,0.002879485,0.00186875,0.4107953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001615076,"about_ca_system_score_gemma":0.002017733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01848136,"about_ca_topic_score_gemma":0.03001854,"domain_scores_codex":[0.9988512,0.0001909846,0.000107043,0.0004530293,0.0002190385,0.000178641],"domain_scores_gemma":[0.9983981,0.000282264,0.0001017534,0.000662233,0.0003335438,0.0002220694],"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":[0.00004949667,0.00002863164,0.000362838,0.0002956259,0.00001774117,0.00001156317,0.0000142463,0.0002796176,0.0001333362,0.0002904504,0.9958436,0.002672914],"study_design_scores_gemma":[0.0002701565,0.00003512271,0.002023888,0.0001643307,0.00002632429,0.00006011347,0.00007655143,0.001038703,0.0006505966,0.0014469,0.9941701,0.00003725443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001918484,0.0001070498,0.0001736085,0.00009481295,0.00007095739,0.00001743738,0.9957582,0.002090424,0.001495569],"genre_scores_gemma":[0.0003143277,0.00004884551,0.000307458,0.00003875845,0.000010707,0.00004181601,0.9978522,0.0001720884,0.00121378],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7969735,"threshold_uncertainty_score":0.6791914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01808641321045433,"score_gpt":0.2061895414273623,"score_spread":0.1881031282169079,"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."}}