{"id":"W3142990686","doi":"","title":"Oceanic Travel Conditions and American Immigration, 1890-1914","year":2013,"lang":"en","type":"article","venue":"MPRA Paper","topic":"Economic Zones and Regional Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Pace; Competition (biology); Quarter (Canadian coin); Tourism; Geography; Cartel; Business; Economy; Demographic economics; Economics; Incentive","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":[0.0001803617,0.0001550561,0.0000969336,0.001036081,0.0008089969,0.0006904773,0.0002430022,0.0002421728,0.003938925],"category_scores_gemma":[0.0006180968,0.00009946457,0.0002323186,0.001755323,0.0006015977,0.0004099936,0.0007495411,0.0005083014,0.0004212064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00122579,"about_ca_system_score_gemma":0.0005029967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1663562,"about_ca_topic_score_gemma":0.2548552,"domain_scores_codex":[0.9998748,0.00002080838,0.00001003587,0.00001854968,0.00002437995,0.0000513763],"domain_scores_gemma":[0.9997441,0.00001744876,0.00009705628,0.00001030808,0.00005454436,0.00007653207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004705736,0.00005460613,0.9893027,0.00003245851,0.00003608991,0.0001318815,0.001519375,0.0001259587,0.0001653495,0.0003709207,0.001019491,0.007194189],"study_design_scores_gemma":[9.53611e-7,0.00001854347,0.9964088,0.000008535028,0.000006104854,0.00002963277,0.001062248,0.0000237368,0.00001775395,0.00001912157,0.002401787,0.000002787087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902053,0.0005932011,0.00002172298,0.000219935,0.00003174359,0.000008118763,0.001258618,0.000004333411,0.007656834],"genre_scores_gemma":[0.9965952,0.0007274479,0.00004285958,0.00005015555,0.00003833534,0.000007445904,0.0009784718,0.000002651356,0.001557439],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1663562,"threshold_uncertainty_score":0.3307759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01301288809381157,"score_gpt":0.1911474713945283,"score_spread":0.1781345833007168,"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."}}