{"id":"W4398586881","doi":"10.7910/dvn/nfpjaq/3fhl8p","title":"hierarchy_metadata.tab","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Publishing and Scholarly Communication","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Metadata; Hierarchy; Computer science; Information retrieval; World Wide Web; Database; Political science","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001617002,0.002297638,0.001344347,0.0103145,0.00176762,0.004182115,0.002626078,0.002186553,0.1247492],"category_scores_gemma":[0.007805897,0.001016686,0.001284639,0.01277932,0.0009482965,0.003040193,0.003951988,0.002251044,0.1519857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002786291,"about_ca_system_score_gemma":0.005203628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03359148,"about_ca_topic_score_gemma":0.07367817,"domain_scores_codex":[0.9977809,0.0002635012,0.0003883828,0.0005799837,0.0005836759,0.0004036852],"domain_scores_gemma":[0.9940965,0.001252925,0.0006992664,0.001620249,0.001707286,0.0006237176],"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":[0.00006168494,0.00002456265,0.001261945,0.0007894098,0.00001680222,0.00001814918,0.00007699801,0.00009434749,0.000329908,0.001288917,0.9925437,0.003493527],"study_design_scores_gemma":[0.00008929445,0.00001114068,0.003789421,0.0002236315,0.00001375387,0.00003670838,0.0001590503,0.00008891393,0.0004364605,0.0009842752,0.9941465,0.00002089055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001083354,0.00003482182,0.00005759699,0.00004400694,0.00001826851,0.00001332355,0.9985381,0.0002304337,0.0009550595],"genre_scores_gemma":[0.0002901587,0.00004620167,0.0002732623,0.00003961313,0.000007511679,0.00004942451,0.9982343,0.00007871883,0.0009808824],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9958179,"threshold_uncertainty_score":0.4173275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05882009355862369,"score_gpt":0.2544064051848464,"score_spread":0.1955863116262227,"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."}}