{"id":"W3204023415","doi":"10.29173/iasl8286","title":"Teacher Support for Subject Study in School Libraries: A Case Study on the Faculty for Teachers for Subject Learning in School Libraries in Japan","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Educational Research and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Staffing; Subject (documents); Curriculum; School library; Information and Communications Technology; Mathematics education; School teachers; Pedagogy; Medical education; Computer science; Sociology; Psychology; Library science; Political science; Medicine; World Wide Web","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":["metaresearch","metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002658601,0.0003537894,0.0004697082,0.0004637736,0.0003469423,0.001496139,0.001119811,0.0001410438,0.00006500992],"category_scores_gemma":[0.01039458,0.0002887131,0.0001123377,0.001053689,0.00009119562,0.002193589,0.0003606261,0.0009337064,0.00001001048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001778738,"about_ca_system_score_gemma":0.003914217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008929789,"about_ca_topic_score_gemma":0.001936894,"domain_scores_codex":[0.9967439,0.0001662102,0.0006263196,0.001045286,0.0005057026,0.000912556],"domain_scores_gemma":[0.9969171,0.001595938,0.0001639804,0.0002749557,0.0007765816,0.0002713906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000312126,0.001162523,0.6593276,0.00006821197,0.00004039871,0.00005898538,0.3305659,0.00001004478,0.00003492479,0.003243651,0.002076496,0.003099103],"study_design_scores_gemma":[0.003184857,0.003582465,0.134037,0.00009278928,0.00001220586,0.00004313617,0.8489618,0.003040515,0.0002922789,0.004021465,0.002303849,0.0004276676],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895816,0.00005173888,0.0008970915,0.004434961,0.00008405993,0.004525763,0.00004253913,0.00008361573,0.0002986271],"genre_scores_gemma":[0.9912784,0.000003904282,0.001645765,0.0003395316,0.0001453931,0.003778021,0.00002874822,0.00003335713,0.00274686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5252907,"threshold_uncertainty_score":0.9999565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1158319722855949,"score_gpt":0.3812311471693313,"score_spread":0.2653991748837364,"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."}}