{"id":"W6886038647","doi":"10.14288/1.0225402","title":"Correspondence and other records regarding immigration","year":2016,"lang":"en","type":"article","venue":"Open Collections","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Inheritance (genetic algorithm); Census; Historical record; Refugee","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002551018,0.00002409187,0.00004350066,0.00007929572,0.007230934,0.002225319,0.0001041981,0.0000321793,0.007788736],"category_scores_gemma":[0.0001516358,0.00002426737,0.00001398026,0.0003821142,0.0001753091,0.0003235085,0.00002273758,0.0000251531,0.00005285565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003650958,"about_ca_system_score_gemma":0.0004172765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8878738,"about_ca_topic_score_gemma":0.9933513,"domain_scores_codex":[0.9996114,0.00006966326,0.00005533802,0.0001018269,0.00007242065,0.0000893637],"domain_scores_gemma":[0.999739,0.00006932438,0.00002580825,0.00006538475,0.00003456822,0.00006592549],"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":[0.000009715697,0.000005314844,0.0001477969,4.130243e-7,0.000003283213,5.993887e-7,0.001151064,7.460893e-8,0.00006675566,0.00255732,0.990176,0.005881622],"study_design_scores_gemma":[0.0001048887,0.00001106787,0.0001322333,0.00001433308,0.000003941479,0.00000129766,0.000841698,0.000001684971,0.000006103191,0.001295191,0.9975413,0.00004624953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00110097,0.00003591751,0.0003923555,0.001848314,0.0004781866,0.0001737702,0.00001952004,0.00002076616,0.9959302],"genre_scores_gemma":[0.004650914,0.0001135545,0.00009566217,0.0001294417,0.00008880937,0.00002623628,1.188518e-7,0.000003502074,0.9948918],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1054775,"threshold_uncertainty_score":0.9988105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0212649367745735,"score_gpt":0.2714244303617036,"score_spread":0.2501594935871301,"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."}}