{"id":"W3174904709","doi":"","title":"The Case for Digital Timelines in Teaching and Teacher Education.","year":2020,"lang":"en","type":"article","venue":"International journal of e-learning & distance education","topic":"Literacy, Media, and Education","field":"Arts and Humanities","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Timeline; Mathematics education; Computer science; Pedagogy; Multimedia; Medical education; Psychology; Medicine; History","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003675986,0.0000862427,0.00009331541,0.00008779758,0.0002714804,0.0007120878,0.0001746729,0.00002055902,0.00005938721],"category_scores_gemma":[0.001594294,0.0000656534,0.0000512084,0.00002503564,0.00006719396,0.0008252807,0.00001413499,0.0003098336,0.000005411104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009101544,"about_ca_system_score_gemma":0.0004150223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006395486,"about_ca_topic_score_gemma":0.0000737657,"domain_scores_codex":[0.9991921,0.00006010779,0.0003833263,0.0001088554,0.0001572903,0.00009836136],"domain_scores_gemma":[0.9986777,0.0003102059,0.0003449685,0.00004777114,0.0005456121,0.00007378767],"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":[0.0002042148,0.0004366878,0.01027237,0.00004207837,0.00005422648,0.000007857792,0.419641,0.00004609364,0.00001056285,0.0616786,0.03087213,0.4767341],"study_design_scores_gemma":[0.0002513317,0.00007155206,0.0009290202,0.0001282627,0.00001606717,0.0001232337,0.2351041,0.0005284954,0.000004048434,0.003006467,0.7597368,0.0001006619],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645437,0.002112887,0.001095769,0.02344745,0.005692489,0.0001676226,0.000009379621,0.00001405495,0.002916674],"genre_scores_gemma":[0.9896184,0.00005005517,0.0003091007,0.0004166776,0.005776577,0.0000190003,0.00003221228,0.00001274092,0.003765284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7288647,"threshold_uncertainty_score":0.6866679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667305292124022,"score_gpt":0.2891344638686141,"score_spread":0.2724614109473739,"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."}}