{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009089091,0.000182632,0.0001735638,0.00003788321,0.0004666632,0.0004362783,0.0003336005,0.000110013,0.007351288],"category_scores_gemma":[0.0002854435,0.00007871117,0.00007568533,0.0004966524,0.0001170059,0.002482832,0.000116661,0.0001346816,0.0004174469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002668726,"about_ca_system_score_gemma":0.0001009529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000398631,"about_ca_topic_score_gemma":0.0000301558,"domain_scores_codex":[0.998881,0.00007277017,0.0002704,0.0003396533,0.0001646172,0.0002714942],"domain_scores_gemma":[0.9992406,0.0002284838,0.000130543,0.00008810365,0.0001777904,0.0001344986],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001460251,0.0002102402,0.1294616,0.00002001753,0.0001159528,0.000001536752,0.00108962,0.000002741247,0.03388918,0.04412868,0.7678069,0.02312752],"study_design_scores_gemma":[0.0003893701,0.0001321434,0.6749307,0.00003573094,0.00001911589,0.000005768103,0.00603106,0.00004081321,0.001964615,0.0218114,0.2942699,0.0003694137],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9559329,0.0001222084,0.000005389951,0.03003875,0.0004098349,0.000722114,0.0001167292,0.0002524925,0.01239959],"genre_scores_gemma":[0.9680671,0.00002483105,0.001952183,0.001578441,0.001034309,0.0004697221,0.0008494822,0.000004169185,0.02601976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.545469,"threshold_uncertainty_score":0.9935561,"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."}}