{"id":"W7162036147","doi":"10.82308/22351","title":"Technology and motivation in higher education","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Gender and Technology in Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Attribution; Higher education; Causality (physics); Attribution bias; Affect (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0002063639,0.00008869278,0.0001090013,0.0009402024,0.00009150348,0.00003057601,0.0001555671,0.0007346114,0.0001377395],"category_scores_gemma":[0.0001755924,0.00009688574,0.000009980686,0.0008013522,0.00006479964,0.0001472897,0.000009746007,0.0002083446,0.00001649061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001200421,"about_ca_system_score_gemma":0.0009720424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006795704,"about_ca_topic_score_gemma":0.004286627,"domain_scores_codex":[0.9993355,0.0000351684,0.0001387817,0.0002140567,0.0001349416,0.0001416107],"domain_scores_gemma":[0.9995483,0.00001783032,0.00007939182,0.0001361955,0.0001831746,0.00003516595],"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":[0.00000227546,0.00008904659,0.0158584,0.00001631743,0.000005023893,2.032417e-7,0.006506908,5.94462e-8,0.00003257244,0.8854012,0.003552899,0.08853506],"study_design_scores_gemma":[0.0001108087,0.00001658722,0.1111426,0.00003686627,0.00001096421,4.824935e-7,0.05659848,5.983878e-7,0.00007923385,0.7470599,0.0847633,0.0001801593],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4046348,0.001117608,0.000003146583,0.01097638,0.002263252,0.0002944335,3.3343e-7,0.0001974911,0.5805126],"genre_scores_gemma":[0.8626034,0.0001572489,0.0003499452,0.00005816379,0.00009314882,0.00008790042,0.0001124468,0.000007671388,0.1365301],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4579686,"threshold_uncertainty_score":0.5665995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04544376707219614,"score_gpt":0.3713171683807499,"score_spread":0.3258734013085537,"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."}}