{"id":"W2287767487","doi":"10.20361/g2nc8c","title":"Teardrop by L. Kate","year":2015,"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":"Uncanny; Girl; Fantasy; History; Inheritance (genetic algorithm); Art history; Literature; Art; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006693042,0.001350485,0.0007044657,0.001997903,0.002563796,0.004906982,0.001317793,0.00249824,0.3058949],"category_scores_gemma":[0.003317536,0.0008449269,0.000408347,0.00161247,0.001172152,0.007135968,0.004958265,0.003877792,0.2693807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001208578,"about_ca_system_score_gemma":0.00190766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01134843,"about_ca_topic_score_gemma":0.02424761,"domain_scores_codex":[0.9993766,0.0001064118,0.00004270643,0.0001379601,0.0002547625,0.00008167134],"domain_scores_gemma":[0.9989803,0.0002648626,0.00007767699,0.0000760628,0.0003606252,0.0002404228],"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":[0.000008009648,0.000005679366,0.00004549682,0.0001073067,0.000001458181,0.00005007325,0.0002209466,0.00001528494,0.00007391798,0.001794127,0.9537406,0.04393727],"study_design_scores_gemma":[9.964184e-7,0.000002316579,0.00007294368,0.000124175,7.056298e-7,0.0000887389,0.0002015956,0.000008876984,0.00002719864,0.0003396298,0.9991296,0.000003228088],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0008240024,0.2858187,0.003126944,0.06827357,0.0247625,0.0000871189,0.001681162,0.002301258,0.6131248],"genre_scores_gemma":[0.00312079,0.03844623,0.0008387127,0.0112438,0.001172074,0.00006575137,0.0002832105,0.0006532627,0.9441762],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3058949,"threshold_uncertainty_score":0.9900567,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164271614723719,"score_gpt":0.2413976008609197,"score_spread":0.2297548847136826,"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."}}