{"id":"W64553357","doi":"10.29173/slw6826","title":"Connecting Teacher Librarians for Technology Integration Leadership","year":2001,"lang":"en","type":"article","venue":"School Libraries Worldwide","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Technology integration; Information technology; Pedagogy; Knowledge management; Educational technology; Sociology; Mathematics education; Psychology; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005335393,0.0004100265,0.0003367927,0.002706125,0.008141988,0.01309622,0.0008107399,0.004755913,0.1585535],"category_scores_gemma":[0.02431753,0.00043906,0.0002791987,0.002514149,0.00121699,0.009186825,0.005828132,0.003738784,0.05418441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002394823,"about_ca_system_score_gemma":0.01481342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001883682,"about_ca_topic_score_gemma":0.004388022,"domain_scores_codex":[0.9932519,0.003413077,0.0004791913,0.0003780888,0.001572426,0.0009054183],"domain_scores_gemma":[0.9730137,0.004062328,0.001871558,0.001407907,0.007398655,0.01224582],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003219197,0.0001929182,0.003248264,0.0002368873,0.000007584002,0.0006009283,0.004921152,0.00004431773,0.0005237852,0.01154044,0.8016063,0.1770452],"study_design_scores_gemma":[0.00001352367,0.00002735762,0.0007044589,0.00008533847,0.000005228712,0.0002974382,0.003449975,0.00005507182,0.0001924369,0.00159649,0.9935644,0.000008241575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01734555,0.0133213,0.01248246,0.4934043,0.01606351,0.0004487921,0.0002172306,0.003115371,0.4436013],"genre_scores_gemma":[0.125569,0.01115225,0.01426308,0.05710429,0.008767472,0.0004936316,0.0004540705,0.001102243,0.781094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1585535,"threshold_uncertainty_score":0.5304143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07252666699350147,"score_gpt":0.3155321193413559,"score_spread":0.2430054523478545,"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."}}