{"id":"W4398718991","doi":"10.7910/dvn/ivcnjy/ae1pij","title":"map_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":"Computer science; XML; Information retrieval; 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":[0.001568562,0.004306716,0.001968801,0.006727222,0.001465792,0.004941376,0.004667071,0.003410364,0.2189132],"category_scores_gemma":[0.009793106,0.001475373,0.001828265,0.009095505,0.0008079431,0.004166612,0.004042906,0.00250367,0.2869428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002015834,"about_ca_system_score_gemma":0.002975829,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01983231,"about_ca_topic_score_gemma":0.02690747,"domain_scores_codex":[0.9982942,0.0003001262,0.0001954173,0.0005688024,0.0003575345,0.0002840571],"domain_scores_gemma":[0.9965397,0.0008515656,0.0002166565,0.001285246,0.0007679305,0.0003388704],"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":[0.00004382653,0.00001385963,0.0002256192,0.0004327973,0.00002395154,0.00001106226,0.00002276006,0.0001230604,0.0001109786,0.0004886644,0.9970524,0.001451041],"study_design_scores_gemma":[0.0002011889,0.0000214972,0.001179276,0.0002233737,0.00002637261,0.0000489652,0.00008100845,0.0004361866,0.0007148616,0.001876506,0.9951534,0.00003730088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009637565,0.00005668242,0.0001028374,0.00009971792,0.00004708828,0.00001254925,0.9960133,0.002267784,0.00130361],"genre_scores_gemma":[0.0003852033,0.00005917317,0.0002910643,0.00007645231,0.00001203678,0.00005127731,0.9976942,0.0005893947,0.0008412782],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7810868,"threshold_uncertainty_score":0.7323375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02416779380826636,"score_gpt":0.2650471049342942,"score_spread":0.2408793111260279,"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."}}