{"id":"W2966601220","doi":"10.29173/jjs20","title":"The Uses of Juvenilia","year":2019,"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":"Nipissing University","funders":"","keywords":"Construct (python library); Literature; Image (mathematics); History; Aesthetics; Psychology; Art; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003469236,0.0002932489,0.0002159599,0.00289156,0.009768905,0.006352813,0.0008749282,0.0006555167,0.003752883],"category_scores_gemma":[0.009005169,0.0002367535,0.0001573368,0.002320956,0.01035207,0.004260761,0.005631587,0.001846699,0.0005595773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003530801,"about_ca_system_score_gemma":0.004235413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009112836,"about_ca_topic_score_gemma":0.02994271,"domain_scores_codex":[0.9961461,0.002356373,0.0001813311,0.0002275684,0.0007404959,0.0003481167],"domain_scores_gemma":[0.9922233,0.004321325,0.00130702,0.000723639,0.0007077809,0.0007169669],"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":[0.00004162794,0.00001702742,0.009615327,0.0004302191,0.00001009557,0.0008440388,0.7039909,0.00003236689,0.0007475787,0.1746979,0.008364552,0.1012084],"study_design_scores_gemma":[0.000002651396,0.0000615144,0.01453768,0.001860242,0.00001658145,0.001400814,0.2568659,0.00003671099,0.001190354,0.004702887,0.7192916,0.00003300627],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3467756,0.03958212,0.003304949,0.01244837,0.001322399,0.00005586456,0.0002196882,0.0001967922,0.5960942],"genre_scores_gemma":[0.9649234,0.006590495,0.0009852382,0.0009020742,0.0001194331,0.00002907394,0.00004072356,0.00006870932,0.02634094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009768905,"threshold_uncertainty_score":0.0256179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02654589974634807,"score_gpt":0.2727687254640148,"score_spread":0.2462228257176667,"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."}}