{"id":"W2305285138","doi":"10.1080/1031461x.2016.1124361","title":"Panguru and the City: Kāinga Tahi, Kāinga Rua: An Urban Migration History","year":2016,"lang":"en","type":"article","venue":"Australian Historical Studies","topic":"Vietnamese History and Culture Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Inga; Geography; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002988751,0.0002031409,0.0001381845,0.0003827041,0.007008961,0.00177862,0.0003619517,0.0005963421,0.003253334],"category_scores_gemma":[0.0002470618,0.0002189941,0.00007566072,0.001700257,0.004629283,0.001673905,0.001807024,0.001184744,0.0001400647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002975372,"about_ca_system_score_gemma":0.002779857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09875932,"about_ca_topic_score_gemma":0.2270305,"domain_scores_codex":[0.9998484,0.00006368819,0.000004750579,0.00001638071,0.00001072029,0.00005601787],"domain_scores_gemma":[0.9999093,0.00002372475,0.00001906041,0.000006916699,0.00001062073,0.00003036179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007176696,0.00008139409,0.0196799,0.0004131704,0.00001287307,0.004683663,0.8327513,0.0001675728,0.001898121,0.09650327,0.008581668,0.0351553],"study_design_scores_gemma":[0.000009020265,0.0001109963,0.1295097,0.0004182789,0.00001975571,0.002709655,0.553965,0.0002687475,0.0003312145,0.004975581,0.3076393,0.00004283862],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9151512,0.01043753,0.0002199675,0.01095078,0.0001853461,0.0000402697,0.0000782494,0.00001696987,0.06291958],"genre_scores_gemma":[0.9849958,0.004114426,0.0001518131,0.0003564433,0.00003340732,0.00001845056,0.00003172509,0.000009409561,0.01028855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09875932,"threshold_uncertainty_score":0.1963689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1138430061111074,"score_gpt":0.3218471350077388,"score_spread":0.2080041288966314,"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."}}