{"id":"W286111093","doi":"10.29173/slw7067","title":"Editorial: Learning from Our Past","year":2000,"lang":"en","type":"editorial","venue":"School Libraries Worldwide","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Theme (computing); Field (mathematics); Library science; School library; Sociology; Engineering ethics; Computer science; World Wide Web; Engineering","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":["metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity","insufficient_payload"],"category_scores_codex":[0.0007292517,0.000486978,0.0005741462,0.0002323861,0.001748632,0.003928572,0.001636996,0.00142252,0.003472009],"category_scores_gemma":[0.00324755,0.0004942853,0.0002432131,0.0008792279,0.0003395028,0.005892897,0.0001728875,0.002453706,0.002217198],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001316196,"about_ca_system_score_gemma":0.005968058,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003121388,"about_ca_topic_score_gemma":0.0007748905,"domain_scores_codex":[0.9941437,0.0007115767,0.0006260282,0.0009620592,0.002637352,0.0009193228],"domain_scores_gemma":[0.9970651,0.001152407,0.0004158666,0.0005125506,0.0001417594,0.0007123412],"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":[0.00007256218,0.00002502848,0.0008503174,0.000007729973,0.00002949345,0.00001047941,0.00126387,0.00001091842,0.000003491843,0.0006585811,0.9960278,0.001039741],"study_design_scores_gemma":[0.0002543755,0.00005823944,0.00008052574,0.000126839,0.00003764226,4.175653e-8,0.002980546,0.000001544778,0.00001722255,0.008105971,0.9877539,0.0005832026],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005765701,0.0003612714,0.000007473175,0.004276131,0.9002458,0.0002832297,0.0001504221,0.0006251495,0.09399281],"genre_scores_gemma":[0.0005611402,0.0005158902,0.0003760723,0.0001945548,0.8895,0.00003583362,0.001663418,0.00006933114,0.1070837],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01309093,"threshold_uncertainty_score":0.9998738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01299187050790181,"score_gpt":0.2723958678091274,"score_spread":0.2594039973012256,"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."}}