{"id":"W4398521378","doi":"10.7910/dvn/bax2ui/ucr0mp","title":"manifest.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; Programming language; 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":["insufficient_payload"],"category_scores_codex":[0.002788853,0.004494177,0.002350336,0.007714064,0.00161352,0.00749856,0.005222642,0.003863585,0.351894],"category_scores_gemma":[0.01536142,0.00159151,0.001764644,0.01115541,0.001037719,0.005406772,0.005606232,0.00312932,0.48344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002461473,"about_ca_system_score_gemma":0.00354398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01831385,"about_ca_topic_score_gemma":0.02189016,"domain_scores_codex":[0.9976418,0.0004694773,0.000285814,0.0006471598,0.0005560168,0.0003998014],"domain_scores_gemma":[0.9946719,0.001302642,0.0003135608,0.002064534,0.001035745,0.0006116816],"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":[0.0000391908,0.00001224224,0.0001443852,0.0003924717,0.00001789985,0.00000869313,0.00002257376,0.0000712718,0.0000813556,0.0006080205,0.997506,0.001095969],"study_design_scores_gemma":[0.0002223314,0.00002154695,0.0008899343,0.0003284244,0.00001937214,0.00003977297,0.00008187871,0.0002640316,0.0004317245,0.00263451,0.9950335,0.00003303845],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004899413,0.00005394641,0.00007759553,0.00013627,0.00004610691,0.00001205239,0.9960226,0.001989795,0.001612532],"genre_scores_gemma":[0.0002453584,0.00006793776,0.0002127866,0.00009500781,0.00001384995,0.00004851487,0.9975954,0.0006636063,0.001057621],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.648106,"threshold_uncertainty_score":0.9244445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02718234912532084,"score_gpt":0.2657464910079331,"score_spread":0.2385641418826123,"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."}}