{"id":"W4360902825","doi":"10.5406/23256672.99.3.14","title":"Pigeon Soup and Other Stories","year":2022,"lang":"en","type":"article","venue":"Italica","topic":"Themes in Literature Analysis","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Variety (cybernetics); Set (abstract data type); History; Face (sociological concept); Point (geometry); Audience measurement; Aesthetics; Media studies; Psychology; Literature; Sociology; Art; Social science; Political science; Law; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006218682,0.00005585077,0.00007434541,0.00004145492,0.0003562077,0.0001092201,0.00008189365,0.000007627627,0.008510213],"category_scores_gemma":[0.000006925376,0.00004838839,0.00003043297,0.00003129985,0.00009355759,0.00006574186,0.00007594302,0.00007328996,0.0000186641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001374159,"about_ca_system_score_gemma":0.000005004103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009922414,"about_ca_topic_score_gemma":0.0001083847,"domain_scores_codex":[0.9996085,0.00002511728,0.00006927911,0.0001055204,0.0001049134,0.00008664903],"domain_scores_gemma":[0.9997823,0.00002044735,0.00002572592,0.0001348856,0.00001761614,0.00001908701],"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":[0.000008134927,0.00002412412,0.0003134759,0.000004932106,0.00005037038,0.000002868482,0.07203454,0.000001909562,0.00004961197,0.884847,0.04199016,0.0006728817],"study_design_scores_gemma":[0.00005241298,0.00003458187,0.00001928328,0.000001142656,0.00001819403,0.000002174168,0.004181295,0.000007936631,0.00001390801,0.003606575,0.9919937,0.00006875626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2640301,0.003080486,0.0000122971,0.001623801,0.0009930792,0.0001192642,0.0003373706,0.0001726366,0.729631],"genre_scores_gemma":[0.9445959,0.000001192687,0.00002178855,0.001184169,0.0003423144,0.00002034427,0.000007706029,0.00001114306,0.05381545],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9500036,"threshold_uncertainty_score":0.9923961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0174011982036258,"score_gpt":0.2228624974156287,"score_spread":0.2054612992120029,"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."}}