{"id":"W2185705901","doi":"10.36510/learnland.v6i2.621","title":"Lest We Forget: Mixing Traditional and Digital Learning in the History Classroom","year":2013,"lang":"en","type":"article","venue":"LEARNing Landscapes","topic":"Educator Training and Historical Pedagogy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Task (project management); Discipline; Historical thinking; Consciousness; World Wide Web; Multimedia; Mathematics education; Pedagogy; Computer science; Engineering; Sociology; Psychology; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000481482,0.00009845413,0.0001298808,0.00009153076,0.0005783856,0.0001553724,0.0001601483,0.00009076677,0.0002251315],"category_scores_gemma":[0.0004730544,0.00007942558,0.00004529904,0.0001168314,0.0001643494,0.0003056034,0.00001083816,0.0005914429,0.00005561664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001535333,"about_ca_system_score_gemma":0.0001324863,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009995946,"about_ca_topic_score_gemma":0.0006196944,"domain_scores_codex":[0.9988273,0.0002434944,0.0001479001,0.0001989124,0.0002723362,0.0003100564],"domain_scores_gemma":[0.9990034,0.000755197,0.00006892912,0.00005768238,0.00002639256,0.00008844997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001256582,0.0001858251,0.4735392,0.00003635752,0.00002305406,0.00001505188,0.4043207,0.0004022368,0.00008995632,0.02035855,0.03217275,0.06884374],"study_design_scores_gemma":[0.0001719882,0.00006731942,0.02960129,0.00002716073,0.000005196209,0.000004156755,0.05937617,0.0001545789,2.040354e-7,0.001117583,0.9093344,0.0001399381],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8629836,0.002496919,0.00003571371,0.01016491,0.0005108863,0.0001333287,8.00553e-7,0.0001502457,0.1235236],"genre_scores_gemma":[0.9907038,0.0001200083,0.0000592496,0.0001422787,0.0004869379,0.0000248812,0.00001018927,0.00001215786,0.008440455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8771617,"threshold_uncertainty_score":0.4448533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06994497917917766,"score_gpt":0.2856257535208913,"score_spread":0.2156807743417136,"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."}}