{"id":"W4398731901","doi":"10.7910/dvn/k0oyqf/o055cv","title":"house200.wv.vectors.npy","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Genealogy; History","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":[0.001486525,0.006518845,0.002186731,0.005359362,0.001403698,0.00352874,0.005392462,0.003844302,0.09984795],"category_scores_gemma":[0.007371992,0.001282584,0.002394031,0.006925846,0.0009678676,0.00270886,0.003064723,0.002696675,0.1921263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002091996,"about_ca_system_score_gemma":0.00214662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02790982,"about_ca_topic_score_gemma":0.04874232,"domain_scores_codex":[0.9983066,0.0003091732,0.000159125,0.0005259526,0.0003955128,0.0003035989],"domain_scores_gemma":[0.9978982,0.0004904571,0.0001235103,0.000792856,0.0004882357,0.000206805],"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":[0.00004732355,0.00002973638,0.0001785505,0.0003446181,0.00002592217,0.00001178217,0.00001103888,0.0002052284,0.0001001368,0.0002267773,0.9965635,0.002255439],"study_design_scores_gemma":[0.0005666083,0.00006894031,0.001979316,0.0002845076,0.00006810978,0.0001145398,0.00009806143,0.002314745,0.001576885,0.002227989,0.9906355,0.00006484216],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003572331,0.0002131893,0.0002456866,0.0001668605,0.0001216394,0.0000330308,0.993541,0.003927262,0.001394165],"genre_scores_gemma":[0.0005157915,0.00008559112,0.0004751882,0.00006540855,0.00001568433,0.00007264613,0.9973967,0.0002980648,0.001074821],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.900152,"threshold_uncertainty_score":0.3340247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02721282028367562,"score_gpt":0.2625099455618201,"score_spread":0.2352971252781444,"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."}}