{"id":"W7011164930","doi":"","title":"Mailbag; Miley Cyrus: Hot or Not; Canada's immigration overhaul","year":2013,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Cybersecurity and Cyber Warfare Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Government (linguistics); Work (physics); Production (economics)","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":[],"consensus_categories":[],"category_scores_codex":[0.0006793018,0.0006381475,0.0004197667,0.001898936,0.0123271,0.0061903,0.001196866,0.005165216,0.2542225],"category_scores_gemma":[0.002883545,0.0005069826,0.0003635026,0.002514455,0.001336181,0.00134375,0.001689902,0.004208068,0.03809371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02609269,"about_ca_system_score_gemma":0.06966699,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9747113,"about_ca_topic_score_gemma":0.9927936,"domain_scores_codex":[0.999009,0.00003072002,0.00001793356,0.00004340955,0.0004602548,0.0004385537],"domain_scores_gemma":[0.9973496,0.0002796941,0.0000750474,0.00006794603,0.001283984,0.0009438019],"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":[0.00000991619,0.00001201817,0.0005102794,0.00003111803,0.000001591549,0.00006176477,0.0001820899,0.00002397971,0.00002830058,0.002570539,0.9871359,0.009432547],"study_design_scores_gemma":[0.00000949216,0.000006241011,0.005576751,0.0001068071,0.000004742693,0.00002164822,0.001309129,0.0000770406,0.00008334715,0.0003844989,0.9924035,0.00001685759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004332153,0.003406982,0.0001174286,0.03002952,0.002495419,0.0001342582,0.008819923,0.0004126677,0.9502517],"genre_scores_gemma":[0.009115989,0.001298875,0.00006793173,0.004037742,0.0001405861,0.00002558144,0.0006959779,0.0001006533,0.9845167],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2542225,"threshold_uncertainty_score":0.850459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007104977059654189,"score_gpt":0.202314871918931,"score_spread":0.1952098948592768,"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."}}