{"id":"W4235770166","doi":"10.1353/uni.2012.0025","title":"Introduction","year":2012,"lang":"en","type":"article","venue":"˜The œLion and the unicorn","topic":"Themes in Literature Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003217277,0.00006387151,0.00007800027,0.00003306044,0.000356317,0.0001327478,0.0001097041,0.00001641041,0.001469589],"category_scores_gemma":[0.00001052375,0.00002814204,0.00005320105,0.00004226739,0.000322641,0.0001337341,0.00004525062,0.0001148969,0.0001319832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000647788,"about_ca_system_score_gemma":0.000002189505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004064459,"about_ca_topic_score_gemma":0.0001201363,"domain_scores_codex":[0.9995544,0.00009493919,0.00008936774,0.00006878805,0.00007562163,0.0001168876],"domain_scores_gemma":[0.9995911,0.00006498409,0.00004075181,0.0002526055,0.00002788812,0.0000227396],"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":[0.00002787583,0.00001341382,0.00005497254,0.000002163958,0.00003635009,5.817049e-8,0.01869715,8.397402e-7,0.000006660391,0.9533088,0.02574317,0.002108502],"study_design_scores_gemma":[0.0001970751,0.000006437364,0.0001141635,0.000002158893,0.00006884458,0.000005204261,0.001736085,0.0001185263,0.000008498187,0.00670224,0.990994,0.00004671708],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1398513,0.0202468,0.0008103987,0.07353087,0.0122126,0.0007458619,0.00002769777,0.0003383899,0.7522361],"genre_scores_gemma":[0.9408364,0.00004988461,0.000007304679,0.0009785953,0.004707062,0.000005849849,0.000004429217,0.000006442807,0.05340408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9652508,"threshold_uncertainty_score":0.9994432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01063615850799943,"score_gpt":0.2005059988360909,"score_spread":0.1898698403280915,"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."}}