{"id":"W57507539","doi":"10.20361/g2901t","title":"Tom’s Tweet by J. Esbaum","year":2012,"lang":"en","type":"article","venue":"The Deakin Review of Children s Literature","topic":"Themes in Literature Analysis","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Laughter; Art; Friendship; Social media; Art history; Psychology; Literature; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000460021,0.001153384,0.0004325554,0.001371635,0.002072782,0.003693244,0.0005591137,0.00197817,0.2384117],"category_scores_gemma":[0.002300603,0.0005542675,0.0003175182,0.001200371,0.0005832309,0.003910373,0.001654067,0.003328525,0.2004406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001166687,"about_ca_system_score_gemma":0.001285562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01126909,"about_ca_topic_score_gemma":0.03256536,"domain_scores_codex":[0.9996421,0.00004002675,0.00002101098,0.00007939102,0.0001572986,0.000060199],"domain_scores_gemma":[0.9994011,0.0001248143,0.00003953911,0.00002726497,0.0002335133,0.0001737272],"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":[0.000004939518,0.000002368604,0.00002478698,0.00002909705,5.741497e-7,0.0000226261,0.00004553973,0.0000054805,0.00002707171,0.0003969129,0.9833208,0.01611992],"study_design_scores_gemma":[9.293702e-7,0.000002049156,0.000109275,0.00005353915,6.056895e-7,0.00005553467,0.00008665187,0.000006329386,0.00001432396,0.0001230153,0.9995453,0.000002436006],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001177684,0.2391661,0.001705675,0.08918427,0.09593419,0.0000662629,0.001809036,0.002178211,0.5687786],"genre_scores_gemma":[0.002485346,0.03221189,0.0004900664,0.009301946,0.002398357,0.00002941695,0.0004750722,0.0003869292,0.952221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2384117,"threshold_uncertainty_score":0.7975667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008034794506634213,"score_gpt":0.2382518248292602,"score_spread":0.230217030322626,"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."}}