{"id":"W194570693","doi":"10.28945/1387","title":"Exploring the Influence of Context on Attitudes toward Web-Based Learning Tools (WBLTs) and Learning Performance","year":2011,"lang":"en","type":"article","venue":"Interdisciplinary Journal of e-Skills and Lifelong Learning","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ontario Institute of Technology","funders":"","keywords":"Multidisciplinary approach; Context (archaeology); Association (psychology); Engineering ethics; Psychology; Knowledge management; Computer science; Sociology; Social science; Engineering; Geography","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":[0.002830548,0.0002490112,0.0004745334,0.0002816957,0.001699835,0.0001593936,0.0003645449,0.00009708494,0.00005787865],"category_scores_gemma":[0.001378906,0.0001820714,0.0001545563,0.0002883123,0.0005172562,0.001201628,0.0002747746,0.002106204,0.000006295596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005441629,"about_ca_system_score_gemma":0.0002369113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004820462,"about_ca_topic_score_gemma":0.00003276038,"domain_scores_codex":[0.997255,0.0007953336,0.0007013047,0.0002695615,0.0005442561,0.0004344951],"domain_scores_gemma":[0.9973658,0.001156968,0.0008593067,0.0001005348,0.0003202638,0.0001971204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003838904,0.0001751359,0.5498835,0.0001370386,0.0001222139,0.00006142879,0.08477081,0.04615091,0.0005999224,0.0002441406,0.00001742987,0.3174536],"study_design_scores_gemma":[0.001628162,0.00421908,0.9069477,0.003818341,0.0001267825,0.00009076625,0.06234459,0.001562466,0.0005972179,0.0000736168,0.01801897,0.0005722573],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969499,0.0003906405,0.00007365233,0.000724012,0.0001867771,0.0001203889,5.338399e-7,0.00004085391,0.001513271],"genre_scores_gemma":[0.9972002,0.001116511,0.0009087634,0.00005588295,0.0003437424,0.000006225857,8.603801e-7,0.00002900088,0.0003388451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3570642,"threshold_uncertainty_score":0.9995998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05825071100095004,"score_gpt":0.3150321207750462,"score_spread":0.2567814097740962,"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."}}