{"id":"W7006474632","doi":"","title":"Troubling Canadian community in Brian K. Vaughn’s 'We Stand on Guard'","year":2016,"lang":"en","type":"other","venue":"Arca (British Columbia Electronic Library Network)","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mainstream; Indigenous; Commonwealth; Comics; Meaning (existential); League; Identity (music); Cartoonist; Economic Justice","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":[0.00165914,0.0004725172,0.0002761024,0.001025416,0.04909942,0.009606862,0.001166714,0.004249118,0.03063427],"category_scores_gemma":[0.003192751,0.0002642122,0.0002758829,0.001297332,0.01001244,0.002915825,0.002993558,0.005524843,0.002937022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04281166,"about_ca_system_score_gemma":0.06416884,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9657854,"about_ca_topic_score_gemma":0.9902977,"domain_scores_codex":[0.9983389,0.0002084411,0.00001650274,0.0001530851,0.0006669573,0.0006160752],"domain_scores_gemma":[0.9981303,0.0002906854,0.00004367857,0.0000536238,0.0007694925,0.0007122625],"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":[0.00001365071,0.000007343467,0.0004333423,0.00002332906,0.000002340901,0.0002478892,0.01442724,0.00002319701,0.0001323254,0.06837834,0.9041303,0.01218063],"study_design_scores_gemma":[0.000002684644,0.000002373955,0.000583614,0.00005922754,0.000002115898,0.00008835302,0.02490153,0.00002526066,0.0001223064,0.002476526,0.9717214,0.00001476962],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01699534,0.01046623,0.0006668373,0.4659091,0.006375641,0.00003027392,0.000445322,0.0001694174,0.4989419],"genre_scores_gemma":[0.1766767,0.006026417,0.0008187763,0.1064535,0.0008671898,0.00002817921,0.0001808396,0.0003114118,0.7086369],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04909942,"threshold_uncertainty_score":0.3106218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004533764837202594,"score_gpt":0.207429160663078,"score_spread":0.2028953958258754,"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."}}