{"id":"W4398415756","doi":"10.7910/dvn/fsmydk","title":"Stowell Datasets Digital Archive: Charlotte, North Carolina, USA","year":2008,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Archaeology and Natural History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cartography; Geography; Archaeology; Library science; 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":[0.001379809,0.001434037,0.001252828,0.007536248,0.001613049,0.004364866,0.003115185,0.001078351,0.2694046],"category_scores_gemma":[0.009513342,0.0008035417,0.0008418711,0.01828741,0.0003538843,0.002140456,0.002590648,0.001921672,0.2950114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002342311,"about_ca_system_score_gemma":0.006547389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1831848,"about_ca_topic_score_gemma":0.2361316,"domain_scores_codex":[0.9986064,0.0002012684,0.0001861064,0.0002997706,0.0005186447,0.0001879084],"domain_scores_gemma":[0.9934783,0.0008525011,0.0003102632,0.001434485,0.003538982,0.0003853988],"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":[0.000008391499,0.00000456428,0.0001461944,0.00006454644,0.00000399181,0.000005993165,0.0000110506,0.00005700583,0.00001156312,0.0002763391,0.9974371,0.00197319],"study_design_scores_gemma":[0.00003665798,0.000003975819,0.001768748,0.0002553317,0.000007940722,0.00001339047,0.0001150669,0.0002706386,0.00007970665,0.0008676695,0.9965624,0.00001834127],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008489715,0.0000543771,0.0001649678,0.0001611099,0.00004145563,0.00001631361,0.9936358,0.0009662965,0.004874692],"genre_scores_gemma":[0.0005043334,0.0001374863,0.0005605816,0.0000824896,0.000016395,0.0001482666,0.9911619,0.0005606126,0.006827937],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2694046,"threshold_uncertainty_score":0.9012482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583546308982334,"score_gpt":0.2600309367177107,"score_spread":0.2441954736278874,"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."}}