{"id":"W7095324048","doi":"","title":"The development of this theme was supported by the Integration Branch and Metropolis Project at Citizenship and Immigration Canada.","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Citizenship; Immigration; Theme (computing); Social change","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":[0.007259625,0.0003836135,0.0004853834,0.001682917,0.009928742,0.009137256,0.002454631,0.002887281,0.04948716],"category_scores_gemma":[0.005882689,0.0003530002,0.0004686096,0.001068935,0.004556518,0.002927602,0.01128239,0.005580124,0.004423371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01694215,"about_ca_system_score_gemma":0.07527839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2949939,"about_ca_topic_score_gemma":0.6291833,"domain_scores_codex":[0.9943282,0.0009038367,0.00007673744,0.0003801118,0.002565307,0.001745877],"domain_scores_gemma":[0.9680244,0.001773363,0.0004575872,0.0006229542,0.008463621,0.02065819],"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":[0.0001112212,0.0002039861,0.008847574,0.0001665615,0.0000180866,0.0008723985,0.01936282,0.0002504206,0.002350817,0.3007729,0.5946409,0.07240233],"study_design_scores_gemma":[0.00001259491,0.0000315201,0.006068951,0.0001127995,0.000005427201,0.0001814895,0.01087237,0.0003172253,0.0005050089,0.005849704,0.9760169,0.00002597032],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.03492102,0.002323597,0.01542341,0.6133862,0.02333215,0.0009439488,0.003094696,0.0003215914,0.3062534],"genre_scores_gemma":[0.2382804,0.002033771,0.01507897,0.02023928,0.002456811,0.0002444691,0.0009561264,0.0004102863,0.7202999],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9505128,"threshold_uncertainty_score":0.5865536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007516011133925093,"score_gpt":0.2779352676389821,"score_spread":0.270419256505057,"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."}}