{"id":"W4388525178","doi":"10.1515/lass-2023-0026","title":"Animal representations in Margaret Atwood’s novels: a study based on pan-indexicality model","year":2023,"lang":"en","type":"article","venue":"Language and Semiotic Studies","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Soochow University; Government of Jiangsu Province","keywords":"Indexicality; Semiotics; Context (archaeology); Literature; Meaning (existential); Narrative; Onomatopoeia; Art; History; Philosophy; Epistemology; Linguistics","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":[],"consensus_categories":[],"category_scores_codex":[0.000687161,0.0001185379,0.0002249181,0.0002379253,0.0005123744,0.00005991409,0.0001335836,0.00004850337,0.0000398156],"category_scores_gemma":[0.001216639,0.000106953,0.00005889611,0.0006208555,0.0002145246,0.0001081375,0.0001002914,0.0001783496,0.00002257953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004677382,"about_ca_system_score_gemma":0.00003065919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003820036,"about_ca_topic_score_gemma":0.1056907,"domain_scores_codex":[0.9986554,0.000168694,0.0002205099,0.0003255739,0.0003336804,0.0002961099],"domain_scores_gemma":[0.9987426,0.0008771453,0.00004965322,0.0002031294,0.00007168341,0.00005573078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001381326,0.001046738,0.4218943,0.00005575539,0.0002318336,0.0002448864,0.5596401,0.00170086,0.0001955281,0.007067114,0.007309722,0.0004749651],"study_design_scores_gemma":[0.0003840317,0.000152678,0.3460675,0.00003847944,0.00003242376,2.412415e-7,0.6473655,0.00463312,0.000005632025,0.001160283,0.00002787612,0.0001322445],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881158,0.0002108838,0.000003692315,0.002535135,0.00009156673,0.0003753908,0.00001810115,0.000136409,0.008513015],"genre_scores_gemma":[0.9980833,0.00009434519,0.00007216097,0.0002690615,0.00006855421,0.00006348054,0.000005007368,0.000008867865,0.001335222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1018707,"threshold_uncertainty_score":0.9106281,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08751318884691578,"score_gpt":0.4212731102278803,"score_spread":0.3337599213809646,"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."}}