{"id":"W4253325898","doi":"10.4018/978-1-5225-7365-4.ch001","title":"Addressing Digital Competencies, Curriculum Development, and Instructional Design in Science Teacher Education","year":2018,"lang":"en","type":"book-chapter","venue":"Advances in educational technologies and instructional design book series","topic":"Digital literacy in education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Practicum; Timeline; Curriculum; Digital literacy; Computer science; Resource (disambiguation); Variety (cybernetics); Process (computing); Mathematics education; Multimedia; Pedagogy; Psychology; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0003773572,0.0005075871,0.0003805635,0.001430178,0.0004530194,0.0008074722,0.0009149459,0.0002892002,0.00004617276],"category_scores_gemma":[0.0004065078,0.0005236339,0.00003491935,0.0005324559,0.002765021,0.013722,0.0004949467,0.0004932845,0.00001533928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000736293,"about_ca_system_score_gemma":0.003457962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005117203,"about_ca_topic_score_gemma":0.00001187982,"domain_scores_codex":[0.9969907,0.00002643297,0.0007561273,0.001147251,0.0006477464,0.0004316757],"domain_scores_gemma":[0.9983679,0.0002117517,0.0004444615,0.0004328086,0.0004511104,0.0000919611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001464926,0.00009925921,0.0008181721,0.00004582839,0.000007906303,0.000001042802,0.0002648037,0.00003235868,0.0000154518,0.6043208,0.0002497625,0.39413],"study_design_scores_gemma":[0.0001876752,0.0001142398,0.003493234,0.0006954807,0.000005257629,0.0005399037,0.0009506274,0.0002395172,0.0002294951,0.6459441,0.3468774,0.0007230718],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.06703877,0.1884089,0.1058108,0.01410505,0.0251875,0.00859329,0.0002307376,0.003299261,0.5873257],"genre_scores_gemma":[0.01831919,0.005416132,0.9445884,0.0001559879,0.0003888945,0.000430758,0.0001295277,0.00006318666,0.0305079],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8387777,"threshold_uncertainty_score":0.9999489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02493824209716702,"score_gpt":0.2722408006325037,"score_spread":0.2473025585353367,"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."}}