{"id":"W4398571783","doi":"10.7910/dvn/azvm5x/d76mvs","title":"map_question_response.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; Information retrieval; XML; Database; 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":[0.001800245,0.004068706,0.001749714,0.005752439,0.001425053,0.004261463,0.004350177,0.004273981,0.2589971],"category_scores_gemma":[0.01214207,0.001223236,0.001760403,0.007652031,0.0009111584,0.003215024,0.004229103,0.00223827,0.3146346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002528278,"about_ca_system_score_gemma":0.003280289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03191496,"about_ca_topic_score_gemma":0.05214602,"domain_scores_codex":[0.9980654,0.000445918,0.0002110266,0.0005643698,0.0003894263,0.0003238033],"domain_scores_gemma":[0.9953649,0.001609464,0.0002921079,0.001282731,0.001058412,0.0003923781],"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":[0.00003056548,0.00001101604,0.000182823,0.0004578312,0.00001455955,0.000008574438,0.00002596704,0.00009987609,0.00006273842,0.0003035008,0.9977815,0.001021109],"study_design_scores_gemma":[0.0001910407,0.00001846727,0.001265156,0.0002842376,0.00002023233,0.00003507892,0.0001374889,0.0004282594,0.0004726868,0.001744292,0.9953634,0.00003968376],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006703579,0.00004339571,0.00006297124,0.0001217671,0.00003313471,0.0000115384,0.997749,0.0009433487,0.0009678287],"genre_scores_gemma":[0.0003594531,0.00004727123,0.0002376864,0.00008384793,0.00001110689,0.00007351989,0.9977542,0.0002872675,0.001145759],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7410029,"threshold_uncertainty_score":0.8664318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02565267966261072,"score_gpt":0.2797842432821219,"score_spread":0.2541315636195112,"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."}}