{"id":"W7056630494","doi":"","title":"Ep.25 - Canada's 1st MP of Somali descent","year":2015,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Somali; Refugee; Descent (aeronautics); Diversity (politics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005389585,0.0006497565,0.0003860314,0.0008065427,0.006978753,0.004796359,0.0008333935,0.005660399,0.22165],"category_scores_gemma":[0.002231572,0.0004698278,0.000376505,0.001011294,0.0008756738,0.001276804,0.001677057,0.004261944,0.07918303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01048054,"about_ca_system_score_gemma":0.01450577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7396795,"about_ca_topic_score_gemma":0.9160683,"domain_scores_codex":[0.9991713,0.00003497867,0.00001775272,0.00007467796,0.0004519082,0.0002495112],"domain_scores_gemma":[0.999193,0.00006433561,0.00002274944,0.00003173005,0.0004696381,0.0002185481],"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":[0.00001099379,0.000006356428,0.0001335411,0.00003554343,0.000001023592,0.00005087454,0.0001060888,0.00001722751,0.00008647129,0.004552193,0.9886152,0.006384555],"study_design_scores_gemma":[0.000003360726,0.000004294943,0.001642454,0.00005497568,0.00000178265,0.0000233957,0.0001752104,0.00001183401,0.0000908341,0.0003082961,0.9976776,0.000005932811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001092751,0.005620484,0.0002364311,0.01658506,0.005652966,0.0001330718,0.005045625,0.0003586476,0.965275],"genre_scores_gemma":[0.001926055,0.0004529194,0.00005112333,0.003168829,0.0001241956,0.00002241145,0.0002943162,0.00005269869,0.9939074],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.77835,"threshold_uncertainty_score":0.7414931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004581091092050676,"score_gpt":0.1600816389435854,"score_spread":0.1555005478515347,"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."}}