{"id":"W4398719890","doi":"10.7910/dvn/azvm5x/o4axn5","title":"map_contributor.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; Database; 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":[0.001785198,0.004387022,0.002035479,0.008011012,0.001715094,0.005311543,0.004812728,0.003235802,0.2542239],"category_scores_gemma":[0.01155699,0.001461422,0.001754567,0.01096636,0.0008639664,0.004254169,0.005329091,0.0026241,0.3513428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001934668,"about_ca_system_score_gemma":0.003397349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02249926,"about_ca_topic_score_gemma":0.03400024,"domain_scores_codex":[0.9980429,0.0003489636,0.0001945037,0.0006465075,0.0004286815,0.000338353],"domain_scores_gemma":[0.9957282,0.001000128,0.0002320167,0.001566576,0.0009992654,0.0004737619],"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":[0.00002526165,0.00001049002,0.0001708167,0.0003280811,0.00001857721,0.000009625033,0.00002447619,0.00008391418,0.00006794554,0.0003583428,0.9977819,0.001120475],"study_design_scores_gemma":[0.0001464267,0.00001454957,0.0009322995,0.0001981539,0.00001996428,0.00003858203,0.00009185355,0.0003060976,0.0004443086,0.001559685,0.9962171,0.00003116062],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00007833946,0.00004706282,0.00009756871,0.0001058922,0.00005708004,0.00001227478,0.9960048,0.002185965,0.001411093],"genre_scores_gemma":[0.0003607422,0.00005793393,0.000284571,0.00006430285,0.00001445316,0.00005364174,0.9973963,0.0006597565,0.001108361],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7457761,"threshold_uncertainty_score":0.8504637,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02084678229372592,"score_gpt":0.2591409356918017,"score_spread":0.2382941533980758,"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."}}