{"id":"W3128883067","doi":"10.29173/iasl7566","title":"Barriers to School Library Development","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Corporation; Political science; Library science; Economic growth; Sociology; Economics","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":[0.01433345,0.0003077351,0.0006687377,0.0040634,0.009112199,0.01483951,0.002500581,0.00206228,0.05535717],"category_scores_gemma":[0.03842435,0.0005870383,0.0005731207,0.004130001,0.00587661,0.006357971,0.01643037,0.003523273,0.005576479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01116633,"about_ca_system_score_gemma":0.03992628,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04388092,"about_ca_topic_score_gemma":0.05951385,"domain_scores_codex":[0.9790421,0.008746982,0.001434615,0.001022832,0.003494749,0.006258696],"domain_scores_gemma":[0.9334034,0.03048449,0.005679268,0.001838992,0.008524039,0.0200699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002001286,0.0008967594,0.125842,0.003396307,0.00007726617,0.004326763,0.1353406,0.0007711875,0.0009945604,0.3516877,0.1430341,0.2334326],"study_design_scores_gemma":[0.00005666659,0.0001450727,0.06867836,0.003023518,0.00003046619,0.001230028,0.2663913,0.0003656209,0.0008203379,0.01591517,0.6432678,0.00007570746],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4193711,0.007954733,0.004515403,0.1404017,0.0006827336,0.00105243,0.0009526776,0.000551701,0.4245176],"genre_scores_gemma":[0.9239523,0.003460831,0.001619966,0.006586911,0.0001513343,0.0004294321,0.0002086639,0.0001181432,0.06347245],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05535717,"threshold_uncertainty_score":0.1851882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01779552940579243,"score_gpt":0.2685699774632311,"score_spread":0.2507744480574387,"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."}}