{"id":"W6968786326","doi":"10.5281/zenodo.16883647","title":"Evie Magazine web archive collection derivatives","year":2025,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Web page; Web site; The Internet; Web application","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":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006632755,0.0002675751,0.0003404803,0.0008635077,0.002232108,0.001846563,0.003826674,0.0001198493,0.003194425],"category_scores_gemma":[0.001142824,0.0002775333,0.0001128004,0.00196079,0.000143818,0.0003907992,0.004246959,0.0005411068,0.004009127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001540137,"about_ca_system_score_gemma":0.00002961364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002994785,"about_ca_topic_score_gemma":0.000002726404,"domain_scores_codex":[0.9972589,0.0006476556,0.0003589907,0.0008465863,0.0004898346,0.0003980506],"domain_scores_gemma":[0.9976233,0.00007691298,0.0002288984,0.001437023,0.0004746403,0.0001592137],"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":[0.00001002571,0.00009060989,9.887966e-8,0.0001032817,0.0001043281,0.00001756573,0.0001011066,0.00001231334,0.0001502935,0.0004269498,0.9820818,0.01690161],"study_design_scores_gemma":[0.0002421927,0.0001404666,0.00001986447,0.0001250444,0.00004701433,0.00004131134,0.00002744547,0.001772359,0.00003009394,0.0001165318,0.9971762,0.0002614264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000007009797,0.0001339182,0.03661203,0.0008918467,0.0002329222,0.0003019963,0.9408711,0.0007360029,0.02021325],"genre_scores_gemma":[0.00006849597,0.0007139684,0.001778274,0.0002056811,0.0001460094,8.803798e-8,0.9945979,0.0002468525,0.002242776],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05372682,"threshold_uncertainty_score":0.9999677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02408323032524898,"score_gpt":0.2513722150065768,"score_spread":0.2272889846813278,"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."}}