{"id":"W4232737620","doi":"10.1163/37665_dadr_ii-c_0107_0001","title":"Files and reports of emigrants in Canada (personal information of individual imm…","year":2020,"lang":"en","type":"dataset","venue":"Transatlantic Relations Online : Digital Archives of the Roosevelt Institute for American Studies","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Emigration; Database; Computer science; 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":[0.0008546192,0.001969515,0.001251369,0.01070346,0.002106749,0.003059047,0.002615202,0.001486639,0.04659769],"category_scores_gemma":[0.005524013,0.0009290007,0.001242546,0.02352412,0.0006215492,0.0008971205,0.001753208,0.001471901,0.0366913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008878879,"about_ca_system_score_gemma":0.0276881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.940882,"about_ca_topic_score_gemma":0.9430946,"domain_scores_codex":[0.9986774,0.0000594195,0.0001327836,0.0002077769,0.0004479899,0.0004745929],"domain_scores_gemma":[0.9940691,0.000552171,0.0005465883,0.000564618,0.003422166,0.0008454616],"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":[0.00008988921,0.0000258381,0.004496841,0.0004847768,0.00004005365,0.00004409117,0.00007887336,0.0003118032,0.00009354624,0.000380307,0.9904606,0.003493253],"study_design_scores_gemma":[0.0001665281,0.00001652145,0.07002562,0.0006390471,0.00006819978,0.0000892248,0.0006369507,0.0005980683,0.0005845803,0.00049773,0.9266021,0.00007551382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001800215,0.00002473977,0.000008829477,0.00001940764,0.000005928855,0.000005487861,0.9994531,0.00004245067,0.0002599499],"genre_scores_gemma":[0.0006508532,0.00008056486,0.00007323086,0.00002277852,0.000003966555,0.00002887777,0.9979031,0.00001683497,0.001219779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05911797,"threshold_uncertainty_score":0.1558848,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.018213181917314,"score_gpt":0.2790359230923393,"score_spread":0.2608227411750252,"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."}}