{"id":"W1556897420","doi":"10.29173/iasl7726","title":"Nurturing lifelong readers","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":"Library science; Lifelong learning; Diversity (politics); Political science; Resilience (materials science); Sociology; Pedagogy","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":[0.00033808,0.0001037156,0.0001177535,0.00004794743,0.0005367518,0.0006488178,0.0002967886,0.0001000886,0.0004911511],"category_scores_gemma":[0.0004318084,0.0001046235,0.00004711283,0.00047356,0.000272959,0.002752606,0.00005605581,0.0001503069,0.0000978411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000298387,"about_ca_system_score_gemma":0.001067173,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001802585,"about_ca_topic_score_gemma":0.0001165396,"domain_scores_codex":[0.998638,0.00002017869,0.0001703545,0.0003346955,0.000447324,0.0003894176],"domain_scores_gemma":[0.999084,0.00003325624,0.00007375783,0.00006237436,0.000531756,0.0002148792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001359581,0.00007483081,0.03205768,0.00003273143,0.00001327308,0.00003361035,0.7965512,5.036761e-7,0.001223267,0.1437018,0.01398528,0.01231219],"study_design_scores_gemma":[0.000168371,0.00005954199,0.008428612,0.00008494985,0.00001029594,0.00001039918,0.8144568,0.00005399814,0.009372442,0.01094044,0.1560735,0.0003406642],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8386002,0.00005886245,0.0001007713,0.01942637,0.0003279349,0.0001124028,0.000006126563,0.000192004,0.1411754],"genre_scores_gemma":[0.9877298,0.00007378017,0.0007907363,0.0009841768,0.0004197879,0.000008414773,0.00000543945,0.000006213452,0.009981579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1491297,"threshold_uncertainty_score":0.6256565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04704954827028525,"score_gpt":0.3055372783793289,"score_spread":0.2584877301090436,"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."}}