{"id":"W138474367","doi":"","title":"Raise Awareness--Raise Confidence: Culturally Responsive Instruction for School Library Candidates","year":2013,"lang":"en","type":"article","venue":"Teacher librarian","topic":"Diverse Educational Innovations Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Library instruction; School library; Psychology; Mathematics education; Pedagogy; Computer science; Information literacy; 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":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003445758,0.0003991804,0.0003611888,0.0005308613,0.004206422,0.00382058,0.0009603908,0.001534008,0.01460235],"category_scores_gemma":[0.01056241,0.0003345582,0.0004239603,0.0003836983,0.00101029,0.001788149,0.005850349,0.003025064,0.003308085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00091845,"about_ca_system_score_gemma":0.005110045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001166009,"about_ca_topic_score_gemma":0.004181869,"domain_scores_codex":[0.9981971,0.0008745019,0.00007570526,0.0001106255,0.000348499,0.000393512],"domain_scores_gemma":[0.9938019,0.001640161,0.0005738344,0.0003440745,0.000532031,0.003107965],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005652609,0.0326466,0.07401846,0.0009780596,0.00005865028,0.002307142,0.1881012,0.0003930145,0.008528481,0.008969673,0.06551939,0.6179141],"study_design_scores_gemma":[0.0007803309,0.005557594,0.1355541,0.001900757,0.0003121394,0.002466236,0.5551461,0.001158612,0.01718373,0.02128297,0.2583278,0.0003296332],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9070216,0.0006135134,0.005531052,0.02441707,0.0004806362,0.0005587621,0.00007070205,0.0004437295,0.06086296],"genre_scores_gemma":[0.9675163,0.0006351731,0.01128758,0.00329619,0.0001022482,0.0004187871,0.00007472307,0.0000693156,0.01659964],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01460235,"threshold_uncertainty_score":0.04884976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03109866247059105,"score_gpt":0.2494556349997973,"score_spread":0.2183569725292063,"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."}}