{"id":"W2980141836","doi":"10.29173/iasl7217","title":"Collaborating Teacher Librarians with English Department Teachers: Useful Online Databases for English Presentation","year":2016,"lang":"en","type":"article","venue":"IASL Annual Conference Proceedings","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Presentation (obstetrics); Reading (process); English language; Mathematics education; Library science; Psychology; Pedagogy; Computer science; Political 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":[0.009992566,0.0006888473,0.0007392601,0.003351449,0.006852119,0.01513449,0.002284044,0.002006323,0.01735623],"category_scores_gemma":[0.03383156,0.0008414593,0.0006351731,0.00402798,0.001450165,0.01733765,0.008542647,0.001641309,0.01087104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001703095,"about_ca_system_score_gemma":0.003791162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002165151,"about_ca_topic_score_gemma":0.007682008,"domain_scores_codex":[0.9842276,0.01104347,0.001044836,0.0009277047,0.002110616,0.0006458542],"domain_scores_gemma":[0.9735759,0.0152127,0.001956916,0.002911946,0.002743406,0.00359912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003992061,0.001730569,0.02574623,0.001806747,0.00008020868,0.004980611,0.3274061,0.0004204922,0.0120343,0.0135957,0.06729508,0.5445047],"study_design_scores_gemma":[0.0001483242,0.0005513222,0.007490367,0.0008702063,0.0001269525,0.004887166,0.2666484,0.001693107,0.007522549,0.006665709,0.7031971,0.0001987741],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4051171,0.007116476,0.1959126,0.02844751,0.001013684,0.002049254,0.001197975,0.009052904,0.3500926],"genre_scores_gemma":[0.7178289,0.003710597,0.2071112,0.002453044,0.0005475454,0.0006092729,0.001197796,0.002139054,0.06440254],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01735623,"threshold_uncertainty_score":0.05806243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03397530991730671,"score_gpt":0.2850693610227547,"score_spread":0.2510940511054479,"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."}}