{"id":"W4321369802","doi":"10.29173/jjs107","title":"Table of Contents 5.1","year":2023,"lang":"en","type":"article","venue":"Journal of Juvenilia Studies","topic":"Themes in Literature Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Table of contents; Literature; Art; Philosophy; Computer science; Database; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003187285,0.00008290428,0.0004241743,0.0002128695,0.0001028016,0.00002863948,0.0001598199,0.0000164644,0.000194047],"category_scores_gemma":[0.0002339551,0.00005546076,0.0001873142,0.0001238679,0.0001905968,0.000192351,0.00005886012,0.0001062438,0.00002493992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001537256,"about_ca_system_score_gemma":0.00001416646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007556325,"about_ca_topic_score_gemma":0.00004602253,"domain_scores_codex":[0.9990525,0.00002985388,0.0004827579,0.00005853246,0.0002515207,0.0001248815],"domain_scores_gemma":[0.9985988,0.0001399858,0.0004133102,0.0001054101,0.0007172351,0.00002522913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001437742,0.0001527293,0.002957832,0.0002579914,0.0046832,0.0001299882,0.1426123,0.00007558805,0.001605579,0.0959833,0.749202,0.002195698],"study_design_scores_gemma":[0.0006271233,0.0002837018,0.00046606,0.0002793539,0.0003749262,0.00001247711,0.04683501,0.00001446312,0.001191418,0.009984381,0.9398004,0.0001307076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8998169,0.03609902,0.00001414457,0.004409757,0.006725423,0.0001546031,0.00009353663,0.00007414344,0.05261242],"genre_scores_gemma":[0.9759688,0.0006458836,0.00006759537,0.00009457767,0.000564248,0.000001224339,9.717673e-7,0.000008797849,0.02264795],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1905984,"threshold_uncertainty_score":0.2261624,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07137062295879999,"score_gpt":0.3022973283110828,"score_spread":0.2309267053522828,"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."}}