{"id":"W7112893280","doi":"","title":"Agents of Empire: British Female Migration to Canada and Australia, 1860s – 1930","year":2009,"lang":"en","type":"article","venue":"Érudit (Université de Montréal)","topic":"Australian History and Society","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Population; Government (linguistics); Ethnic group; Immigration","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":[],"consensus_categories":[],"category_scores_codex":[0.0001198683,0.00006635397,0.0001179619,0.00002273797,0.000547522,0.00001240157,0.0001282305,0.00008153798,0.0001160145],"category_scores_gemma":[0.0000221461,0.00009629782,0.00004341074,0.0001827738,0.00006638076,0.0001000508,0.00002015609,0.00006190188,0.000004513825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002855906,"about_ca_system_score_gemma":0.0001191064,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9801371,"about_ca_topic_score_gemma":0.9991053,"domain_scores_codex":[0.9992617,0.00005126062,0.00008693876,0.0001531622,0.0002296546,0.000217241],"domain_scores_gemma":[0.9995744,0.00001628117,0.00006212458,0.00009010042,0.00004695564,0.0002100979],"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":[0.00003608965,0.0000589891,0.05920933,0.00001607773,0.00003808126,0.0005943112,0.02642,0.0001095498,0.0004423046,0.004903997,0.897,0.0111713],"study_design_scores_gemma":[0.0002035688,0.00004779189,0.181528,0.00001860013,0.00002472646,0.000009684558,0.005129493,0.000004318081,0.00006126053,0.00007839144,0.8127509,0.0001432553],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933625,0.0002647164,0.00001526801,0.005023546,0.00009115588,0.0001165538,0.00002546335,0.00001855669,0.001082222],"genre_scores_gemma":[0.9259917,0.0002963827,0.0001519086,0.000346937,0.00004168096,5.590883e-7,0.000006343317,0.000003099003,0.07316138],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1223187,"threshold_uncertainty_score":0.7468096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01472217354266167,"score_gpt":0.212927116861297,"score_spread":0.1982049433186353,"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."}}