{"id":"W4385793753","doi":"10.29173/jjs112","title":"Table of Contents","year":2023,"lang":"en","type":"article","venue":"Journal of Juvenilia Studies","topic":"Regional Development and Environment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Table (database); Table of contents; Information retrieval; 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":[0.0006723202,0.00004329501,0.0001989138,0.00007249334,0.0001340468,0.000005420893,0.0001180731,0.00002053896,0.00002761876],"category_scores_gemma":[0.0002650761,0.00003242372,0.00006631485,0.0002137241,0.0001808178,0.0001037328,0.00004051658,0.00004808266,0.000026639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004696778,"about_ca_system_score_gemma":0.00004927045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002496073,"about_ca_topic_score_gemma":0.0000374052,"domain_scores_codex":[0.9990967,0.00004012318,0.0002639885,0.00004149589,0.0004304625,0.0001272147],"domain_scores_gemma":[0.9994754,0.0001105911,0.0002165161,0.00003379016,0.0001246615,0.00003903672],"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":[0.0001307558,0.0001707133,0.225318,0.00008591724,0.00118818,0.0001405532,0.07105729,0.0002548227,0.00261451,0.009477427,0.6810161,0.00854566],"study_design_scores_gemma":[0.0006583723,0.000134648,0.1822033,0.0001777749,0.00005077731,0.000003642783,0.05687731,0.000003500845,0.0007614245,0.007501232,0.7515042,0.0001237764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776912,0.002829,0.00001004265,0.008951822,0.001167475,0.00007301183,0.00000139788,0.00001150023,0.009264496],"genre_scores_gemma":[0.9783143,0.01130078,0.0001800858,0.00004943939,0.0001261124,0.000001276925,2.008661e-7,0.000003260655,0.01002452],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07048811,"threshold_uncertainty_score":0.1322201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1173372366209791,"score_gpt":0.36407955759468,"score_spread":0.2467423209737009,"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."}}