{"id":"W1583811663","doi":"10.21083/irss.v17i0.757","title":"Bevan & Duncan, <i>Tracing Your Ancestors in the Public Record Office</i>","year":2008,"lang":"en","type":"article","venue":"International Review of Scottish Studies","topic":"Latin American and Latino Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tracing; History; Genealogy; Computer science; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003264525,0.0004189295,0.0004602192,0.003286611,0.003730219,0.006415732,0.0011773,0.001755023,0.07617047],"category_scores_gemma":[0.01301267,0.0003710729,0.0002494142,0.005141257,0.002731844,0.005086657,0.001511215,0.002353054,0.02633619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003515923,"about_ca_system_score_gemma":0.005732249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04261706,"about_ca_topic_score_gemma":0.09943868,"domain_scores_codex":[0.9982627,0.0004918771,0.00009976306,0.0001420293,0.0008537009,0.0001499962],"domain_scores_gemma":[0.9934963,0.001850977,0.0007016012,0.0004322223,0.002841904,0.0006769623],"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":[0.00001154984,0.000005752884,0.0003948557,0.0001658627,0.000002794608,0.00002843327,0.0006379278,0.000006014729,0.0001001474,0.01662143,0.9161198,0.06590547],"study_design_scores_gemma":[0.000002081183,0.000002985841,0.0008205522,0.0002333052,0.000002996081,0.00004374316,0.0006597822,0.00000726834,0.00009802495,0.002247065,0.9958763,0.000005845747],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.001930509,0.1751987,0.002732249,0.3539066,0.0291366,0.00006358834,0.001449176,0.0004534054,0.4351292],"genre_scores_gemma":[0.05109129,0.1597732,0.007898601,0.05133497,0.005667175,0.0001454701,0.0007152145,0.0007587224,0.7226154],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.07617047,"threshold_uncertainty_score":0.2548156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09598212455957214,"score_gpt":0.3771147814183581,"score_spread":0.281132656858786,"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."}}