{"id":"W7127938166","doi":"10.63468/sshrr.312","title":"&lt;b&gt;USE&lt;/b&gt;&lt;b&gt; &lt;/b&gt;&lt;b&gt;OF&lt;/b&gt;&lt;b&gt; &lt;/b&gt;&lt;b&gt;SCHOOL&lt;/b&gt;&lt;b&gt; &lt;/b&gt;&lt;b&gt;LIBRARY&lt;/b&gt;&lt;b&gt; &lt;/b&gt;&lt;b&gt;IN&lt;/b&gt;&lt;b&gt; &lt;/b&gt;&lt;b&gt;DEVELOPMENT&lt;/b&gt;&lt;b&gt; &lt;/b&gt;&lt;b&gt;OF&lt;/b&gt;&lt;b&gt; &lt;/b&gt;&lt;b&gt;READING CULTURE HABITS&lt;/b&gt;","year":2025,"lang":"","type":"article","venue":"Social Sciences & Humanity Research Review","topic":"Library Science and Administration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Learning Partnership","funders":"","keywords":"Reading (process); Thematic analysis; Qualitative property; Descriptive statistics; Perception; Multimethodology; Quantitative research; Extensive reading","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","metaepi_broad","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","metaepi_narrow","metaepi_broad","bibliometrics","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"category_scores_codex":[0.116092,0.07046524,0.07643485,0.04915325,0.07894464,0.05597794,0.1118432,0.04870545,0.04801288],"category_scores_gemma":[0.05671387,0.07626816,0.04815397,0.1244456,0.08076809,0.08029335,0.05558144,0.05048369,0.03885119],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.048669,"about_ca_system_score_gemma":0.08295001,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002319615,"about_ca_topic_score_gemma":0.0598019,"domain_scores_codex":[0.6719351,0.04905878,0.06673896,0.06245042,0.07639961,0.07341708],"domain_scores_gemma":[0.778147,0.03394242,0.05470734,0.05021749,0.03677726,0.04620854],"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":[0.01195086,0.02474641,0.002711908,0.0179169,0.01556437,0.009725975,0.01953371,0.002774971,0.3382748,0.1491994,0.3775038,0.03009696],"study_design_scores_gemma":[0.04441177,0.0155312,0.01428426,0.034516,0.01812739,0.004814156,0.00414713,0.008706032,0.01577485,0.0191228,0.7567052,0.06385916],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2171898,0.3193795,0.004260752,0.03496196,0.06448743,0.09186555,0.03667403,0.02663787,0.2045431],"genre_scores_gemma":[0.4783084,0.2637498,0.01742259,0.01520223,0.04287114,0.02646743,0.02869778,0.0174928,0.1097878],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3792015,"threshold_uncertainty_score":0.9618972,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09665438506929144,"score_gpt":0.3731028868719738,"score_spread":0.2764485018026823,"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."}}