{"id":"W2212674490","doi":"","title":"Incidental Learning in Hypemedia Environments: The Impact of Individual Differences and Spatial Overviews","year":2005,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University of Edmonton; University of Alberta","funders":"","keywords":"Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001530167,0.0001977898,0.0004368343,0.0007505256,0.0005646817,0.003347551,0.0007143459,0.0005335166,0.005999209],"category_scores_gemma":[0.02515667,0.0002015809,0.0002114107,0.0003914314,0.0006796741,0.002169153,0.002198012,0.0007267282,0.0005075944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003054899,"about_ca_system_score_gemma":0.0004818387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008827086,"about_ca_topic_score_gemma":0.001662608,"domain_scores_codex":[0.9985465,0.0004645543,0.0001339567,0.0002341078,0.000424264,0.0001966413],"domain_scores_gemma":[0.9735859,0.01744472,0.002205625,0.003187524,0.001522912,0.002053321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.009461618,0.008698588,0.5413609,0.0005757056,0.0003651539,0.001498539,0.03201209,0.004914089,0.03833392,0.01310337,0.002759416,0.3469167],"study_design_scores_gemma":[0.0003562903,0.004554485,0.9249374,0.0001319236,0.0003211793,0.001614653,0.0148162,0.007769724,0.01247619,0.02309782,0.009753125,0.0001708351],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946137,0.00006190538,0.0006105752,0.000031208,0.000008567789,0.00001164331,0.0000248018,0.00002597774,0.004611513],"genre_scores_gemma":[0.9977044,0.00004682768,0.0005741123,0.00001355166,0.000007065434,0.00001460059,0.00004579683,0.00001688994,0.001576847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005999209,"threshold_uncertainty_score":0.02006936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04234529521643343,"score_gpt":0.3365463345591849,"score_spread":0.2942010393427515,"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."}}