{"id":"W2527219075","doi":"","title":"Addressing Adult Learning Needs Through Blended Learning Environments","year":2009,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Blended learning; Computer science; Experiential learning; Active learning (machine learning); Educational technology; Psychology; Artificial intelligence; Mathematics education","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":[],"consensus_categories":[],"category_scores_codex":[0.0002881884,0.0002156326,0.0002646465,0.0006005451,0.0008707665,0.00008973962,0.0002971074,0.0002583234,0.0007241755],"category_scores_gemma":[0.001657286,0.0002203434,0.00003866401,0.0009554703,0.0005838443,0.0002719444,0.00004484136,0.001257753,0.0001173204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009533879,"about_ca_system_score_gemma":0.0008313332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003308123,"about_ca_topic_score_gemma":0.0002063897,"domain_scores_codex":[0.9981076,0.0001975363,0.000270776,0.0003935608,0.0004741563,0.0005563966],"domain_scores_gemma":[0.9988922,0.0004754959,0.0001978326,0.0001544897,0.0001182861,0.0001616747],"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":[0.00001251105,0.0001520771,0.01283643,0.000005082496,0.00001629771,0.000004729588,0.005578176,0.00001313839,0.0006937379,0.8806554,0.0004140951,0.09961832],"study_design_scores_gemma":[0.0006769099,0.0002747047,0.006404576,0.0002556199,0.00004223582,0.000007899474,0.01059257,0.0001566282,0.0008546463,0.8940522,0.08613015,0.0005518397],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.07462352,0.0005429385,0.0001037182,0.8669527,0.0009991181,0.0002389458,0.000002129736,0.0003200659,0.05621685],"genre_scores_gemma":[0.9876067,0.001069903,0.00163782,0.0003581939,0.000900234,0.00003424055,0.00004603691,0.00001450123,0.008332353],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9129832,"threshold_uncertainty_score":0.8985345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04436442269433798,"score_gpt":0.3298812259671521,"score_spread":0.2855168032728141,"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."}}