{"id":"W2563206461","doi":"10.18438/b8b32n","title":"Situated Cognition Principles Increase Students’ Likelihood of Knowledge Transfer in an Online Information Literacy Course","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Situated cognition; Situated; Cognitive apprenticeship; Situated learning; Mathematics education; Information literacy; Metacognition; Psychology; Relevance (law); Cognition; Credibility; Syllabus; Pedagogy; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001745231,0.0002330667,0.0004490011,0.0004428122,0.000342848,0.001214724,0.0004581574,0.0006114111,0.008291178],"category_scores_gemma":[0.01126735,0.0002062444,0.0006264535,0.0002279287,0.0002735803,0.0008630279,0.001028551,0.0008512784,0.0008207592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004452274,"about_ca_system_score_gemma":0.0008131918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006086282,"about_ca_topic_score_gemma":0.0009255449,"domain_scores_codex":[0.9988012,0.0004621731,0.00007981109,0.0001911598,0.0003403346,0.0001253554],"domain_scores_gemma":[0.9952077,0.002851185,0.0007525597,0.0002409074,0.0002441839,0.0007034981],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003892792,0.07172436,0.08945891,0.00231202,0.0004981429,0.0003292357,0.01038758,0.0006916022,0.01570117,0.001443865,0.003886679,0.7996737],"study_design_scores_gemma":[0.001699144,0.03432217,0.9185021,0.001097008,0.001037075,0.0002831247,0.004221504,0.002792633,0.01341621,0.003954841,0.01856991,0.000104206],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941722,0.0004734474,0.0004993062,0.0003191013,0.00003085501,0.0001387522,0.0000189594,0.00004278976,0.004304658],"genre_scores_gemma":[0.9929512,0.0006301588,0.002541841,0.0001858269,0.00002126826,0.0001580807,0.00003832551,0.000007867915,0.0034653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008291178,"threshold_uncertainty_score":0.02773678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0263456056012711,"score_gpt":0.3380901414848075,"score_spread":0.3117445358835364,"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."}}