{"id":"W2942080558","doi":"","title":"Silently censoring: Influences of collection development policy on LGBTQ youth","year":2019,"lang":"en","type":"article","venue":"YA Hotline","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lesbian; Queer; Collection development; Public policy; Political science; Sociology; Policy development; Public relations; Library science; Gender studies; Public administration; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03405757,0.0002149105,0.0005228997,0.002410692,0.01932545,0.0192584,0.00245239,0.00313272,0.01163802],"category_scores_gemma":[0.1016022,0.0004165719,0.0007080049,0.004532066,0.01221055,0.005702684,0.007737962,0.006003689,0.0008160469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05271176,"about_ca_system_score_gemma":0.08138148,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6357629,"about_ca_topic_score_gemma":0.614333,"domain_scores_codex":[0.9608964,0.01895561,0.001190529,0.001462636,0.005143351,0.0123516],"domain_scores_gemma":[0.8826137,0.0684684,0.01492032,0.00333399,0.0172117,0.01345178],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004706229,0.0007974728,0.260487,0.0002398239,0.00009884852,0.001078921,0.3339638,0.0009697804,0.0007519982,0.3128062,0.02738958,0.06094595],"study_design_scores_gemma":[0.0001149617,0.0001690325,0.2240959,0.001595351,0.0002053286,0.0003402416,0.5760748,0.001378808,0.002121707,0.0321411,0.1615837,0.0001790012],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7179381,0.002131521,0.001316396,0.09441233,0.0001413389,0.0002579181,0.0004308121,0.00006075259,0.1833108],"genre_scores_gemma":[0.989403,0.0005531473,0.0002369293,0.004764744,0.00004946408,0.00008191946,0.00003953169,0.00002939015,0.004841936],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6357629,"threshold_uncertainty_score":0.7327642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03966414605282174,"score_gpt":0.3171318331815995,"score_spread":0.2774676871287778,"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."}}