{"id":"W3127040269","doi":"10.29173/iasl7633","title":"Turn Trash into Treasure Recycling Children's Books","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Treasure; Damages; Donation; Business; History; Public relations; Political science; Library science; Law; Archaeology; Computer science","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":[0.0005160301,0.0001633851,0.0001885997,0.00006574218,0.0007652166,0.0008325735,0.0004119092,0.0001639007,0.0004111031],"category_scores_gemma":[0.0004866466,0.0001586457,0.00008362366,0.0005049153,0.0003197748,0.002589085,0.00006331915,0.0002483713,0.00006928142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004027354,"about_ca_system_score_gemma":0.00100792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004323177,"about_ca_topic_score_gemma":0.000340753,"domain_scores_codex":[0.9981936,0.00003907241,0.0002568058,0.0004815208,0.0005837381,0.0004452608],"domain_scores_gemma":[0.9988338,0.00003903851,0.0001211678,0.00008757004,0.0006433098,0.0002750662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002850048,0.0001571176,0.227511,0.00003224782,0.00003218425,0.00002001847,0.670343,4.918707e-7,0.002888558,0.05114299,0.008043393,0.03980047],"study_design_scores_gemma":[0.0008738785,0.0003661826,0.1525697,0.0003219635,0.00007100759,0.00005159672,0.6527143,0.00009010118,0.02302567,0.06758147,0.1009222,0.001411989],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9406227,0.00009111139,0.00005440587,0.007697303,0.0002183755,0.0001586143,0.0000115943,0.0001794063,0.05096642],"genre_scores_gemma":[0.9900027,0.00009190824,0.0007058942,0.0006655657,0.0005156506,0.00001203846,0.00001548481,0.000009999659,0.007980784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09287877,"threshold_uncertainty_score":0.8028525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274624126269538,"score_gpt":0.2911508815200559,"score_spread":0.263688468893102,"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."}}