{"id":"W2947722720","doi":"","title":"Alberta Historical Cemeteries Project","year":2017,"lang":"en","type":"article","venue":"Student Research Proceedings","topic":"Oral History, Memory, Narrative Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Prosperity; Settlement (finance); Government (linguistics); Politics; Kinship; Library science; National archives; Social media; Genealogy; Geography; Archaeology; History; Sociology; Political science; World Wide Web; Anthropology; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001100228,0.000218655,0.0003493621,0.0004589644,0.004201003,0.001622825,0.001373874,0.00006001091,0.0015446],"category_scores_gemma":[0.0008622718,0.0001775384,0.0001615889,0.00008505511,0.001183781,0.0009839257,0.0005385373,0.0005317677,0.0004359908],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009267177,"about_ca_system_score_gemma":0.00010881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01349605,"about_ca_topic_score_gemma":0.006442029,"domain_scores_codex":[0.9969694,0.00004577405,0.0003011879,0.0005484277,0.001445255,0.0006899613],"domain_scores_gemma":[0.9979539,0.00007980441,0.0001838677,0.0004217442,0.001219173,0.0001415205],"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":[0.00009282062,0.0003432733,0.01249136,0.0001193614,0.0001779226,0.0000178305,0.2084683,1.834594e-8,0.0007498184,0.06570403,0.7104049,0.001430352],"study_design_scores_gemma":[0.0002772863,0.000423038,0.001430389,0.0000372977,0.00002729738,0.000001194588,0.02048571,0.000005772793,0.0001716332,0.0007863155,0.976124,0.0002300158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2534353,0.0002555954,6.365121e-7,0.00380725,0.0005826114,0.0006173647,0.000004620201,0.00006828571,0.7412283],"genre_scores_gemma":[0.6248029,0.00003799029,0.00002536093,0.00003521123,0.001114943,0.0001661199,0.000002089758,0.00002553462,0.3737899],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3713676,"threshold_uncertainty_score":0.9994136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.372625321656366,"score_gpt":0.4460213460815627,"score_spread":0.07339602442519672,"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."}}