{"id":"W2946031082","doi":"10.17605/osf.io/9zr6f","title":"Hacking the Historical Data: Register of Chinese Immigrants to Canada, 1886-1949","year":2019,"lang":"en","type":"article","venue":"OSF Preprints (OSF Preprints)","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Register (sociolinguistics); Immigration; History; Political science; Linguistics; Law","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004014548,0.0001515043,0.000328559,0.0001850747,0.0005942186,0.0001894163,0.002590044,0.0001201054,0.1271469],"category_scores_gemma":[0.002961081,0.0001587212,0.0001048243,0.0004114314,0.00023694,0.0002618693,0.001087687,0.0003205162,0.1271854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003413369,"about_ca_system_score_gemma":0.002898168,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950435,"about_ca_topic_score_gemma":0.9989112,"domain_scores_codex":[0.9967676,0.0004603564,0.0004292564,0.001139764,0.0007813438,0.0004216909],"domain_scores_gemma":[0.9949682,0.0003903794,0.0002243433,0.003969729,0.0001405896,0.0003067106],"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":[0.0001024484,0.0001553905,0.1269931,0.0001017475,0.0001317273,0.00003384592,0.0319927,0.000257956,0.0007773798,0.004336974,0.8160901,0.01902665],"study_design_scores_gemma":[0.0001454541,4.673588e-7,0.05574701,0.00002841751,0.0000191783,0.000002635382,0.0005250687,0.00002485486,0.00001419974,0.0003142434,0.9430025,0.0001760301],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2474338,0.00001098589,0.0000897027,0.006113735,0.001872541,0.0008146439,0.00006324163,0.00004120593,0.7435601],"genre_scores_gemma":[0.5303761,0.00003499769,0.00007772683,0.0005368498,0.0001460582,0.00002063616,0.000007480829,0.00001630699,0.4687838],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2829423,"threshold_uncertainty_score":0.8925841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801529123891602,"score_gpt":0.2537091502382958,"score_spread":0.2356938589993798,"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."}}