{"id":"W427820780","doi":"","title":"European comics in English translation : a description sourcebook","year":2002,"lang":"en","type":"book","venue":"McFarland & Co. eBooks","topic":"Comics and Graphic Narratives","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Comics; Notice; Literature; Art; Variety (cybernetics); History; Quarter (Canadian coin); Comic strip; Visual arts; Law; Computer science; Political science; Archaeology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002721817,0.0003896214,0.0004319625,0.0004531916,0.0002214802,0.0003350219,0.000222724,0.0001518773,0.0007190004],"category_scores_gemma":[0.000006498038,0.0003766215,0.0001979558,0.00001135163,0.0002557618,0.00007109627,0.00002799516,0.0005122078,0.00006855867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006773511,"about_ca_system_score_gemma":0.00004914551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008354839,"about_ca_topic_score_gemma":0.004013021,"domain_scores_codex":[0.9985101,0.0001281301,0.0004676015,0.0003830194,0.0002186775,0.0002925227],"domain_scores_gemma":[0.9992789,0.00005905142,0.0002158197,0.0002936407,0.00007381338,0.00007877137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001476453,0.0001401787,0.0001770408,0.0002610176,0.0002090443,0.00007447616,0.3622677,0.000004479216,0.00003785035,0.2463844,0.3433088,0.04698738],"study_design_scores_gemma":[0.0009212882,0.00009757021,0.00002532119,0.0002541306,0.00004121061,0.000001845158,0.0006403316,0.00007132569,0.000001857191,0.007472529,0.9900233,0.0004493353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008414896,0.0004893687,0.00002845615,0.00002795082,0.0004600709,0.0004959496,0.0001379763,0.0002350004,0.9972838],"genre_scores_gemma":[0.03584511,0.00006110656,0.00002120542,0.0001644581,0.001423958,0.00002097698,0.0002111819,0.0001618312,0.9620902],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6467144,"threshold_uncertainty_score":0.9998686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06004132091191954,"score_gpt":0.2060453580028676,"score_spread":0.1460040370909481,"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."}}