{"id":"W4398901446","doi":"10.7910/dvn/tnrk8w","title":"Stowell Datasets Digital Archive: Calgary, Alberta, Canada","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; 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":[0.001043349,0.001533364,0.001328725,0.008013025,0.002898615,0.005349339,0.003095472,0.001115358,0.1963863],"category_scores_gemma":[0.006659537,0.0007926165,0.000798192,0.02210553,0.0005755356,0.001642503,0.001924822,0.001700683,0.1704708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01161827,"about_ca_system_score_gemma":0.03000876,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9414844,"about_ca_topic_score_gemma":0.9618364,"domain_scores_codex":[0.9987323,0.00008152269,0.00009246906,0.000245864,0.0005991295,0.0002487666],"domain_scores_gemma":[0.9933815,0.0003799178,0.0001966319,0.0008149793,0.004778343,0.0004486067],"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":[0.00001340516,0.000004436433,0.0003141162,0.00007220065,0.000005591536,0.000009135059,0.00002359384,0.0001188735,0.00001653715,0.0004818277,0.9951261,0.003814015],"study_design_scores_gemma":[0.00003548654,0.000003697588,0.004709095,0.0002686117,0.0000124032,0.00001815766,0.0002344409,0.0004471764,0.0001200099,0.0009479254,0.993174,0.00002901214],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001596582,0.0001296264,0.0001422257,0.0001760043,0.00004499472,0.000017998,0.9898195,0.0007958155,0.008714299],"genre_scores_gemma":[0.001273318,0.0003183913,0.000800358,0.00008086613,0.00001509058,0.00005683233,0.9821415,0.0005443576,0.01476929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1963863,"threshold_uncertainty_score":0.6569776,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01288404129649286,"score_gpt":0.2350958393994539,"score_spread":0.2222117981029611,"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."}}