{"id":"W4398819490","doi":"10.7910/dvn/ydbnzl/h7f6oj","title":"metadata.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":"Metadata; Computer science; XML; World Wide Web; Information retrieval","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":[0.002334497,0.004067952,0.00222895,0.009134186,0.001676574,0.005903673,0.005324834,0.003772878,0.2280867],"category_scores_gemma":[0.01344038,0.001322466,0.001635156,0.01339873,0.001032883,0.005050283,0.005427219,0.002943119,0.3290955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002616558,"about_ca_system_score_gemma":0.004259925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02604939,"about_ca_topic_score_gemma":0.03130961,"domain_scores_codex":[0.9975303,0.0004385605,0.0003876737,0.0006162305,0.0005857975,0.0004415452],"domain_scores_gemma":[0.9950754,0.0009461516,0.0003562238,0.001887519,0.001122091,0.0006126065],"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":[0.00004882519,0.00001538285,0.0002190026,0.0005490257,0.00001994845,0.0000119876,0.00002532641,0.0000869955,0.0001294212,0.0007963933,0.9963533,0.001744398],"study_design_scores_gemma":[0.0001947763,0.00002257148,0.001025636,0.0003572258,0.00002136743,0.000043447,0.00009127519,0.0002539427,0.0005697045,0.002042695,0.9953441,0.00003322672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006055287,0.00005887558,0.00008339783,0.0001105727,0.00003677719,0.00001460666,0.9968175,0.001523743,0.001293924],"genre_scores_gemma":[0.0002303735,0.00006082191,0.0002107954,0.00007261824,0.000008648283,0.00004051755,0.9983935,0.0003039118,0.0006788627],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7719133,"threshold_uncertainty_score":0.7630262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03253127852056475,"score_gpt":0.2722122521475879,"score_spread":0.2396809736270231,"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."}}