{"id":"W6961050524","doi":"10.14288/1.0348116","title":"Report of the Royal Commission on Chinese and Japanese Immigration","year":2017,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Royal Commission; Immigration; Commission; Government (linguistics); China","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":[0.00321279,0.001311501,0.000974409,0.003345339,0.003669339,0.003765033,0.001833778,0.003381482,0.05461092],"category_scores_gemma":[0.005222201,0.0008234512,0.0008060632,0.005691428,0.001269824,0.001435886,0.00247122,0.0039454,0.01413915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01934197,"about_ca_system_score_gemma":0.09791258,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8557286,"about_ca_topic_score_gemma":0.8691031,"domain_scores_codex":[0.9970902,0.000151776,0.0002042884,0.0002378326,0.00142863,0.0008871699],"domain_scores_gemma":[0.9958924,0.0001783546,0.0001847974,0.0002656726,0.002735566,0.0007431343],"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":[0.00004694506,0.00001242807,0.0005103634,0.0002027175,0.00001019597,0.00005677217,0.0001827377,0.00003817127,0.0001059856,0.004806203,0.9725371,0.02149042],"study_design_scores_gemma":[0.000008832943,0.000004880791,0.008641879,0.0001320067,0.000008210695,0.00003100573,0.0002605866,0.00001648356,0.00009300047,0.0002358903,0.9905517,0.00001551371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.009904088,0.1185167,0.0009027632,0.1160068,0.05616484,0.0008236679,0.1076272,0.0008503546,0.5892036],"genre_scores_gemma":[0.01592859,0.02372582,0.001595246,0.007090149,0.001336581,0.000325725,0.0099541,0.0002730923,0.9397708],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1442714,"threshold_uncertainty_score":0.2902421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006259274805062284,"score_gpt":0.18777508368097,"score_spread":0.1815158088759077,"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."}}