{"id":"W3128503002","doi":"10.29173/iasl7563","title":"Gender Issues in School Libraries","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Construct (python library); Prejudice (legal term); Set (abstract data type); Value (mathematics); Sociology; Order (exchange); Public relations; Psychology; Political science; Social psychology; Computer science; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01353424,0.0002365389,0.0005279976,0.00271766,0.01897311,0.02001222,0.001007142,0.004361359,0.01302316],"category_scores_gemma":[0.02040564,0.0003137088,0.0004570246,0.003406275,0.01875199,0.01488641,0.00756026,0.002682914,0.001715677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0115487,"about_ca_system_score_gemma":0.007336316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009503615,"about_ca_topic_score_gemma":0.01152619,"domain_scores_codex":[0.9819679,0.01261053,0.0006253513,0.0009330979,0.001896158,0.001966992],"domain_scores_gemma":[0.9739968,0.01854395,0.002169156,0.0008571175,0.002488491,0.001944458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000112291,0.00006957409,0.009230525,0.0002761671,0.00001050368,0.00088788,0.1688858,0.0001066898,0.0003215883,0.7332494,0.02729937,0.05955019],"study_design_scores_gemma":[0.00002669836,0.0001098866,0.009984133,0.0008432154,0.00003368493,0.00116866,0.2898081,0.0001479476,0.00149512,0.1426587,0.5536637,0.00006027973],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2658236,0.02655275,0.004184849,0.2469609,0.001380529,0.00004799614,0.000146049,0.0001611306,0.4547423],"genre_scores_gemma":[0.9545278,0.003495792,0.0004814019,0.01309454,0.0005845563,0.00003210831,0.00001961778,0.00005810145,0.0277062],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02001222,"threshold_uncertainty_score":0.08379203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04598393766712134,"score_gpt":0.3288017158975609,"score_spread":0.2828177782304395,"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."}}