{"id":"W3143117948","doi":"10.29173/iasl8126","title":"Evaluating your Collection to Facilitate Literacy","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Literacy; Data collection; Information literacy; Collection development; Computer science; Mathematics education; Library science; World Wide Web; Sociology; Pedagogy; Psychology; Social science","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":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.0009233296,0.000129601,0.000153084,0.0001478636,0.0008420675,0.001284845,0.0003291588,0.00007734604,0.00117421],"category_scores_gemma":[0.001517251,0.0001288957,0.00005806685,0.001449985,0.000103,0.01419035,0.0001153257,0.000151197,0.0004996664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007536852,"about_ca_system_score_gemma":0.000782655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002492053,"about_ca_topic_score_gemma":0.00001116292,"domain_scores_codex":[0.9981246,0.00004551955,0.0003467781,0.0003350564,0.0007013172,0.000446725],"domain_scores_gemma":[0.9969826,0.0000566668,0.0001095259,0.00008332361,0.002470563,0.0002972789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001755676,0.00002323468,0.003196504,0.00001808077,0.000004823155,0.000001449336,0.9468729,0.00000382939,0.0004170543,0.01147706,0.008816824,0.02915071],"study_design_scores_gemma":[0.000290441,0.0002167111,0.006818297,0.0001101331,0.000008199958,0.000008055267,0.4367256,0.001484559,0.001529207,0.005371272,0.5470509,0.0003865894],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.925265,0.0000317305,0.0004157147,0.01312842,0.0003863473,0.0002811492,0.00002354575,0.00017398,0.06029418],"genre_scores_gemma":[0.9410929,0.00002716835,0.00479852,0.004251809,0.0002199146,0.00004161994,0.00001182995,0.000006134146,0.04955012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5382341,"threshold_uncertainty_score":0.9997519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1421240619659867,"score_gpt":0.3883702860611042,"score_spread":0.2462462240951175,"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."}}