{"id":"W7058632603","doi":"","title":"Number of refugees rearches a record","year":2015,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"Magnetic Field Sensors Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Refugee; Perspective (graphical); Immigration; Quarter (Canadian coin); Displaced person","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":[0.0006769897,0.0005867509,0.0005327074,0.003133681,0.001853292,0.003320431,0.0009495413,0.0009471831,0.3596054],"category_scores_gemma":[0.003215682,0.0002944014,0.0008336747,0.002727124,0.0003694294,0.002219026,0.002394551,0.001443406,0.1737443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006635209,"about_ca_system_score_gemma":0.002039329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008287638,"about_ca_topic_score_gemma":0.01491487,"domain_scores_codex":[0.9989622,0.0001190999,0.0001105004,0.0001377202,0.0005022035,0.0001682858],"domain_scores_gemma":[0.9983342,0.0001214551,0.0001552474,0.0001379348,0.0005304593,0.0007208094],"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":[0.00006432126,0.00003709703,0.003733934,0.0003174547,0.00001082785,0.0002324035,0.0002013133,0.00002405732,0.0002193039,0.0008898632,0.9022843,0.09198505],"study_design_scores_gemma":[0.00001527104,0.00004573717,0.005627898,0.0003490939,0.000008815511,0.0009003345,0.001392965,0.00002953791,0.0001959741,0.0001990709,0.9912214,0.0000138382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02894942,0.02014139,0.001334846,0.02820509,0.01669943,0.0004785955,0.08246348,0.003278242,0.8184495],"genre_scores_gemma":[0.03405077,0.02096857,0.001198855,0.00777002,0.002782233,0.0002138841,0.03050781,0.0007555406,0.9017522],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3596054,"threshold_uncertainty_score":0.9134452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345624037476533,"score_gpt":0.2550354617282501,"score_spread":0.2415792213534848,"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."}}