{"id":"W4398672206","doi":"10.7910/dvn/azvm5x/d4lelk","title":"media_elements.xml","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; XML; Information retrieval; World Wide Web","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":[0.001405841,0.004313467,0.001781525,0.008223644,0.001589978,0.005146052,0.004363631,0.003747085,0.1896247],"category_scores_gemma":[0.008380922,0.001374062,0.001789531,0.01067335,0.0008913365,0.004508035,0.004415803,0.002921681,0.2782346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002172239,"about_ca_system_score_gemma":0.002918018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0254881,"about_ca_topic_score_gemma":0.03391137,"domain_scores_codex":[0.9982424,0.0003192307,0.0002389913,0.0004837841,0.0003892455,0.0003264276],"domain_scores_gemma":[0.9968243,0.0008628797,0.0002296364,0.0009960046,0.0006973932,0.0003898859],"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":[0.00006175428,0.00001839037,0.0002456743,0.0006473907,0.0000231428,0.00001710232,0.00003576423,0.0001192433,0.0001754022,0.0007288611,0.9959887,0.001938724],"study_design_scores_gemma":[0.0001579451,0.00002007677,0.001231773,0.000319398,0.00002412795,0.00005107205,0.0001178151,0.0002985384,0.0006327732,0.001403069,0.9957078,0.00003556343],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007857113,0.00005553491,0.00007180106,0.00008659672,0.00003675313,0.00001074654,0.9973785,0.001149438,0.001132086],"genre_scores_gemma":[0.000254127,0.00006121289,0.0001983818,0.00005827661,0.000009727349,0.00004008074,0.9984079,0.0002401572,0.0007300437],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8103753,"threshold_uncertainty_score":0.6343579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0287730945933691,"score_gpt":0.2776916020155133,"score_spread":0.2489185074221442,"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."}}