{"id":"W4307803538","doi":"10.47408/jldhe.vi25.962","title":"TALON: hybrid education","year":2022,"lang":"en","type":"article","venue":"Journal of Learning Development in Higher Education","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of the Arts London","keywords":"Globe; Blended learning; Class (philosophy); Hybrid learning; Lexicon; Face (sociological concept); Work (physics); Higher education; Pedagogy; Mathematics education; Computer science; Sociology; Psychology; Educational technology; Engineering; Political science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001749856,0.00007231702,0.0001234478,0.0004042543,0.000590513,0.00005484746,0.0002153857,0.00002580525,0.002251188],"category_scores_gemma":[0.0001497396,0.00007890618,0.00004008464,0.0004615812,0.00002314671,0.0002830458,0.00003756101,0.0006508142,0.00001889636],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000851231,"about_ca_system_score_gemma":0.009291807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005204476,"about_ca_topic_score_gemma":0.00001272209,"domain_scores_codex":[0.9982462,0.0004887487,0.0004138394,0.0001079103,0.0005617812,0.0001815023],"domain_scores_gemma":[0.9991164,0.00007828639,0.0004750706,0.00005138585,0.0001997834,0.00007909117],"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":[0.000050858,0.001353901,0.2860838,0.00002524837,0.00003129381,0.000009654816,0.02559835,0.002734277,0.0001599289,0.007315713,0.01586123,0.6607758],"study_design_scores_gemma":[0.0001130554,0.00004260645,0.03936807,0.0000393006,0.000005721276,0.00001305267,0.01231534,0.00000186824,0.00002538723,0.0003701972,0.9476107,0.00009472126],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707934,0.0007525472,0.00001796277,0.008798361,0.004384431,0.0001000783,1.002912e-7,0.00001831171,0.01513477],"genre_scores_gemma":[0.9557069,0.00004606569,0.005806198,0.0001929424,0.0008067341,0.00002039468,0.00001260958,0.0000109875,0.03739716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9317495,"threshold_uncertainty_score":0.9986609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02750926307529834,"score_gpt":0.3324258495626269,"score_spread":0.3049165864873286,"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."}}