{"id":"W7026562755","doi":"","title":"Amir Ismail Immigration Interview on FM103","year":2014,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Refugee; Population; Government (linguistics); Ethnic group","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005892054,0.0003004723,0.0002713551,0.0007643277,0.0112021,0.001409983,0.0005224394,0.001559217,0.05685135],"category_scores_gemma":[0.001650393,0.0003042345,0.0001459458,0.0009849309,0.0007045053,0.0004129595,0.001530861,0.002448649,0.00707798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01782501,"about_ca_system_score_gemma":0.01552975,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9085025,"about_ca_topic_score_gemma":0.9774714,"domain_scores_codex":[0.9993269,0.00007003837,0.0000116835,0.00004417004,0.0002027526,0.0003443841],"domain_scores_gemma":[0.9985849,0.00009393798,0.00005841292,0.0000228595,0.0006256475,0.0006142789],"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":[0.00003833815,0.00003361729,0.004933754,0.0000519012,0.000002419695,0.001400987,0.02134177,0.00003663649,0.000752294,0.001073512,0.9622911,0.008043776],"study_design_scores_gemma":[0.000008987114,0.00004312243,0.0514653,0.0002004971,0.000003534921,0.0003806661,0.06485809,0.00009038577,0.0002911174,0.0001061652,0.882516,0.00003606651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1791888,0.002511118,0.0003255318,0.1142101,0.003404035,0.0007465437,0.01155772,0.000317233,0.687739],"genre_scores_gemma":[0.2494076,0.001854345,0.0004716832,0.0303965,0.0004030467,0.0002754447,0.001999446,0.0001054714,0.7150864],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9431487,"threshold_uncertainty_score":0.1901867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00789849219054226,"score_gpt":0.1949139248027766,"score_spread":0.1870154326122343,"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."}}