{"id":"W3146128272","doi":"10.29173/iasl7961","title":"Evergreen Library Penetrating into Classroom Teaching: Applying and Expanding – Take Tianzhu No.1 High School in Northwest China as a Sample","year":2021,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Library Science and Administration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Evergreen; Information literacy; Sample (material); Literacy; Reading (process); Library science; School library; Medical education; Quality (philosophy); Mathematics education; Political science; Sociology; Pedagogy; Psychology; Computer science; Medicine","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":[0.001235732,0.0003414545,0.0003697563,0.001555397,0.002979361,0.0008999839,0.0007708851,0.0004293777,0.002408379],"category_scores_gemma":[0.001323243,0.0003208034,0.0003826841,0.001851659,0.0006085978,0.001208336,0.001439693,0.0006047687,0.000356824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002600918,"about_ca_system_score_gemma":0.005199227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1045609,"about_ca_topic_score_gemma":0.2976269,"domain_scores_codex":[0.9993035,0.0001279338,0.00004123907,0.0001010448,0.0001469678,0.0002793441],"domain_scores_gemma":[0.9987379,0.0001026494,0.000179923,0.0001101912,0.0003683453,0.0005010471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001644614,0.001848907,0.8769033,0.0001189609,0.00002775508,0.0006050259,0.07371977,0.00008817384,0.002597371,0.0002779111,0.0007074923,0.04294083],"study_design_scores_gemma":[0.00001667833,0.0004311085,0.9196873,0.0000217533,0.00003313909,0.00009620193,0.07670696,0.000163739,0.0009165687,0.00005940065,0.001854101,0.00001293776],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994552,0.00001976519,0.00002109241,0.00003876832,0.000001015462,0.00002934824,0.00002484099,0.000001174534,0.0004087284],"genre_scores_gemma":[0.9981456,0.00008076909,0.0001887279,0.00008935438,0.000003077957,0.00005090367,0.0001304287,0.000002134598,0.001309139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1045609,"threshold_uncertainty_score":0.2079046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01771960093063261,"score_gpt":0.2821773047220765,"score_spread":0.2644577037914438,"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."}}