{"id":"W4386902636","doi":"10.1007/978-981-99-4170-4_14","title":"Adapting and Creating New Theories Through the Ongoing Research of Technology-Enhanced Learning","year":2023,"lang":"en","type":"book-chapter","venue":"University development and administration","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Surprise; Digitization; Higher education; Quality (philosophy); Engineering ethics; Knowledge management; Leverage (statistics); Engineering; Computer science; Engineering management; Sociology; Political science","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0007540252,0.0000972815,0.0001354382,0.0001648051,0.001986752,0.00006008667,0.0001171223,0.0001996745,0.00002631865],"category_scores_gemma":[0.0002798009,0.00009170636,0.00001885909,0.0001551483,0.0004151168,0.0001548957,0.0001235905,0.0004887521,0.000004590137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005519865,"about_ca_system_score_gemma":0.001171387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008175545,"about_ca_topic_score_gemma":0.001335556,"domain_scores_codex":[0.9991214,0.00006834892,0.0001384308,0.0002071302,0.0002923505,0.0001722992],"domain_scores_gemma":[0.9992468,0.0003615141,0.0001602422,0.00005714793,0.0001367291,0.00003760467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001795727,0.000002694711,0.0001800854,0.0000255046,0.00003078358,0.000007359865,0.02387745,0.000002446485,0.00003639962,0.843119,0.00003373109,0.1326666],"study_design_scores_gemma":[0.000189853,0.0001098721,0.0001556352,0.0005973294,0.00003193531,0.000001309118,0.1840429,0.000009528375,0.0004280831,0.03391125,0.7802985,0.0002238626],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.04328445,0.000150986,0.0003954305,0.002410845,0.00005318033,0.000239047,0.000001373081,0.0001284454,0.9533362],"genre_scores_gemma":[0.2938761,0.0007746878,0.00532711,0.000003846394,0.0001085298,2.856494e-7,0.00001547175,0.00001193961,0.699882],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8092078,"threshold_uncertainty_score":0.9993125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06617684958391015,"score_gpt":0.3300623014327856,"score_spread":0.2638854518488755,"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."}}