{"id":"W4398385265","doi":"10.7910/dvn/ivcnjy/9bqq6f","title":"map_popup_counter.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":"XML; Computer science; 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":[0.001485064,0.003661271,0.001700651,0.005609158,0.001336468,0.004367227,0.004074168,0.002872167,0.196525],"category_scores_gemma":[0.009267908,0.00136829,0.001637928,0.007314264,0.0007714528,0.0032703,0.003570916,0.002150504,0.2401585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189647,"about_ca_system_score_gemma":0.002793667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02281922,"about_ca_topic_score_gemma":0.03392198,"domain_scores_codex":[0.9986941,0.0002209968,0.0001484594,0.0004167987,0.0002869199,0.0002327664],"domain_scores_gemma":[0.9968151,0.0008436224,0.0001888241,0.001123376,0.0007393574,0.0002897315],"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":[0.00003922579,0.00001033854,0.0002424633,0.0004292386,0.00002168761,0.00001030235,0.00002495296,0.0001398038,0.0001121781,0.0005419294,0.9969816,0.001446299],"study_design_scores_gemma":[0.0001675356,0.00001471109,0.001148911,0.0002144886,0.00002137984,0.00003592945,0.00006937356,0.0004078314,0.0007188198,0.001898955,0.9952672,0.00003483166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009397013,0.00005132435,0.0001246571,0.0000928532,0.0000410459,0.0000126875,0.9959959,0.00220629,0.00138133],"genre_scores_gemma":[0.0004075743,0.00005910559,0.0003799619,0.00007128108,0.00001027432,0.00005908136,0.9974666,0.0006841884,0.0008621246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.803475,"threshold_uncertainty_score":0.6574416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02535258315220991,"score_gpt":0.2686637806993143,"score_spread":0.2433111975471044,"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."}}