{"id":"W2939728347","doi":"10.20361/dr29424","title":"We've Got Lots of Good News for You!","year":2019,"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":"Favourite; Novella; Art history; Performance art; Art; Gray (unit); Media studies; History; Sociology; Literature; Law; Political science","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":[0.000923723,0.001111901,0.0007149547,0.001174405,0.005718207,0.00903057,0.000908407,0.002562686,0.5599039],"category_scores_gemma":[0.005155855,0.0004818915,0.0005880772,0.001086884,0.001043297,0.005123187,0.004089932,0.00543879,0.4857652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001321346,"about_ca_system_score_gemma":0.001239228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007449201,"about_ca_topic_score_gemma":0.01956701,"domain_scores_codex":[0.9990222,0.0001419798,0.0000258643,0.0001377196,0.00047115,0.0002011284],"domain_scores_gemma":[0.996177,0.0002156942,0.0001536269,0.0002116284,0.001227469,0.002014598],"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":[0.000009498821,0.00001233962,0.00008331914,0.00003209765,0.00000194041,0.00005562943,0.0001707698,0.000004970563,0.0001053388,0.0006249606,0.9839273,0.01497178],"study_design_scores_gemma":[0.000002346612,0.000007442059,0.0002133823,0.00004280134,0.00000170148,0.00007375568,0.0005692173,0.000007514309,0.00004864248,0.00009783507,0.9989286,0.000006810655],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002450712,0.005718878,0.001428629,0.05801544,0.0538099,0.0001884195,0.001490961,0.003457047,0.8734399],"genre_scores_gemma":[0.002345348,0.001156814,0.0004380119,0.005387741,0.001643113,0.00003335244,0.0004131977,0.0006441177,0.9879383],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5599039,"threshold_uncertainty_score":0.6277437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009180217321302279,"score_gpt":0.2428465336047351,"score_spread":0.2336663162834328,"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."}}