{"id":"W4398290832","doi":"10.7910/dvn/evxrim","title":"Stowell Datasets Digital Archive: Raleigh, North Carolina, USA","year":2008,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Historical and Cultural Archaeology Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cartography; Geography; Library science; Archaeology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001324175,0.001591498,0.001315346,0.008049654,0.001569169,0.004261113,0.003352303,0.001043024,0.2621947],"category_scores_gemma":[0.009019133,0.0008391976,0.0008840978,0.01915693,0.0003814762,0.002390222,0.002746981,0.001885658,0.3046445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002306132,"about_ca_system_score_gemma":0.006252647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1941636,"about_ca_topic_score_gemma":0.2321047,"domain_scores_codex":[0.9986315,0.0001922659,0.0001829528,0.0003149463,0.0005012092,0.0001770559],"domain_scores_gemma":[0.9946238,0.0006920953,0.0002444009,0.001331005,0.002820689,0.0002880197],"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":[0.000007518984,0.000004320133,0.0001541509,0.00006322499,0.000004112499,0.0000064859,0.00001420982,0.00006088132,0.00001330422,0.0003316992,0.9966202,0.002719885],"study_design_scores_gemma":[0.00002828395,0.000003457369,0.0016347,0.0002217992,0.000007726033,0.00001408055,0.0001275608,0.0002724269,0.00007964564,0.0009368972,0.9966556,0.00001785651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009108127,0.00006526572,0.0002185952,0.000184557,0.00004521488,0.00001858612,0.9924558,0.001298967,0.005621827],"genre_scores_gemma":[0.0005620627,0.0001611341,0.0007498233,0.00008407966,0.0000177635,0.0001760706,0.9896713,0.0007587051,0.007819083],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2621947,"threshold_uncertainty_score":0.8771287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02159540464772491,"score_gpt":0.2601140762642307,"score_spread":0.2385186716165058,"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."}}