{"id":"W4398717834","doi":"10.7910/dvn/66hucd/lu5oui","title":"Metadata_LiteralRecord.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":"Metadata; Computer science; XML; Information retrieval; World Wide Web; Database","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":[0.001788686,0.003232829,0.001750508,0.007968845,0.001645635,0.004702361,0.004449292,0.003310042,0.1768759],"category_scores_gemma":[0.01100305,0.001230679,0.001449055,0.01115012,0.001024687,0.003912229,0.003942885,0.002621124,0.2248534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002541474,"about_ca_system_score_gemma":0.00416779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02920594,"about_ca_topic_score_gemma":0.04339528,"domain_scores_codex":[0.9980008,0.0003579886,0.0003048356,0.0005442817,0.0004495586,0.000342578],"domain_scores_gemma":[0.9956269,0.001092366,0.0003232926,0.001461827,0.001063751,0.0004317585],"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":[0.00004693032,0.00001409483,0.0002924313,0.000570117,0.00001914828,0.00001592369,0.00002950324,0.00009141714,0.0001363284,0.0007709961,0.9965042,0.001508886],"study_design_scores_gemma":[0.0001623901,0.00001584378,0.001417467,0.0003075159,0.00002161632,0.00005269724,0.0001145333,0.0002018254,0.0005144424,0.001452072,0.9957091,0.00003056052],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008898204,0.00005523361,0.0000735245,0.00009047722,0.00003190658,0.00001025346,0.9977434,0.0008287081,0.001077578],"genre_scores_gemma":[0.0002568721,0.00005080786,0.0001953886,0.00005578965,0.000006762149,0.00003469861,0.9985681,0.000186614,0.0006449821],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8231241,"threshold_uncertainty_score":0.591709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02871129580965984,"score_gpt":0.2686420560746602,"score_spread":0.2399307602650003,"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."}}