{"id":"W4236990007","doi":"10.1163/37667_dupr_dupr-32","title":"Immigration Branch Records (National Archives Canada, Ottawa: RG 76, acc.70/47, …","year":2020,"lang":"en","type":"dataset","venue":"Transatlantic Relations Online : Digital Archives of the Roosevelt Institute for American Studies","topic":"Korean Peninsula Historical and Political Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; History; Geography; Archaeology","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":[0.0009186211,0.001363742,0.001161305,0.004927832,0.001844619,0.003403691,0.002514524,0.001365828,0.1000722],"category_scores_gemma":[0.005462121,0.000872294,0.0007666135,0.01263696,0.0004986721,0.001273831,0.001461099,0.001881733,0.1093568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007229173,"about_ca_system_score_gemma":0.01672851,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.724113,"about_ca_topic_score_gemma":0.8332318,"domain_scores_codex":[0.9992115,0.00006152852,0.00009538033,0.0001759245,0.0002270063,0.000228505],"domain_scores_gemma":[0.9959357,0.000398726,0.0003182978,0.0005830195,0.00219978,0.000564541],"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":[0.00001954106,0.000005071029,0.0005473658,0.0001209428,0.000006304267,0.000007202809,0.000010711,0.00005108514,0.00001691317,0.0001641299,0.9982881,0.0007625459],"study_design_scores_gemma":[0.00009287471,0.000006096373,0.01136674,0.0002875074,0.00001744716,0.0000244193,0.0001509116,0.0001798146,0.0001578217,0.0004239885,0.9872679,0.00002452474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004874813,0.00001552895,0.0000075157,0.00002377766,0.000009645289,0.000003674097,0.999283,0.00004073712,0.0005674179],"genre_scores_gemma":[0.0002356591,0.00003687886,0.0000634338,0.00002448779,0.000003840187,0.00002260978,0.9977103,0.00002440193,0.00187841],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.275887,"threshold_uncertainty_score":0.5550236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03068372806663549,"score_gpt":0.306019453974632,"score_spread":0.2753357259079965,"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."}}