{"id":"W79806584","doi":"","title":"2000AD: understanding the 'British invasion' of American comics","year":2010,"lang":"en","type":"book-chapter","venue":"UEA Digital Repository (University of East Anglia)","topic":"Comics and Graphic Narratives","field":"Arts and Humanities","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comics; Narrative; Boom; Journalism; Media studies; History; Visual arts; Art; Political science; Literature; Sociology; Engineering","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":[0.0003564714,0.0003531126,0.0001522557,0.001005016,0.00584609,0.005832311,0.0003419172,0.001044291,0.01367829],"category_scores_gemma":[0.0009286139,0.0001608426,0.00008292299,0.001602757,0.004278893,0.00388704,0.001087059,0.002116126,0.001415806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006004796,"about_ca_system_score_gemma":0.00224437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1280065,"about_ca_topic_score_gemma":0.3087941,"domain_scores_codex":[0.9997744,0.00007757625,0.000003919504,0.00002343048,0.00006766062,0.00005300279],"domain_scores_gemma":[0.9997028,0.000136646,0.00002093042,0.00001557768,0.00007052472,0.00005350787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003624558,0.00002746778,0.001355971,0.0002079989,0.000003712878,0.0004194967,0.2495925,0.00008399429,0.0004791529,0.5323029,0.1561752,0.0593153],"study_design_scores_gemma":[0.000001095543,0.000005613676,0.0020435,0.0002072784,0.000002424553,0.0001709877,0.05992958,0.00007190558,0.0001505289,0.006542381,0.9308692,0.000005482841],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02898455,0.007912575,0.0005535688,0.007154161,0.0006396716,0.000009278264,0.00006328242,0.00003653122,0.9546464],"genre_scores_gemma":[0.4837855,0.009153532,0.0007009828,0.002003958,0.0002467761,0.00002583676,0.000109882,0.0001180293,0.5038555],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1280065,"threshold_uncertainty_score":0.2545229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03070546783992255,"score_gpt":0.1666472222843417,"score_spread":0.1359417544444191,"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."}}