{"id":"W2624349625","doi":"","title":"Incidental Learning on the London Tube: Evidence from Hypermedia","year":2006,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Hypermedia; Hypertext; Web page; Educational psychology; Ilya; World Wide Web; Task (project management); Session (web analytics); Computer science; Psychology; Artificial intelligence; Information retrieval; Mathematics education; Engineering; Art history; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004329559,0.0006585085,0.0007950421,0.001054553,0.0008260388,0.002809322,0.002097856,0.001667941,0.0122855],"category_scores_gemma":[0.05092455,0.0006745526,0.0005753228,0.0006494952,0.003432651,0.00390068,0.00387363,0.001860553,0.001673927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005522207,"about_ca_system_score_gemma":0.0009102936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00330726,"about_ca_topic_score_gemma":0.003970833,"domain_scores_codex":[0.9943923,0.001837549,0.0004948356,0.0009741774,0.002086351,0.0002148963],"domain_scores_gemma":[0.8502653,0.0961539,0.01950506,0.0241992,0.006576082,0.003300452],"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":[0.04983063,0.01542187,0.358796,0.007244716,0.002382501,0.003366317,0.03038478,0.002796639,0.02959093,0.01716281,0.008190782,0.4748321],"study_design_scores_gemma":[0.00357137,0.01329989,0.8458908,0.002698272,0.001906633,0.005136613,0.005083649,0.004374361,0.02720801,0.04674955,0.0434823,0.0005985054],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9726056,0.002701894,0.002228508,0.0006742514,0.00009072962,0.0001619185,0.0003131684,0.00005878097,0.021165],"genre_scores_gemma":[0.9890377,0.002142078,0.002647872,0.0005807997,0.0001186069,0.0001769494,0.0005542659,0.00009031366,0.004651446],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0122855,"threshold_uncertainty_score":0.04109907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03279040226501879,"score_gpt":0.2848936598222061,"score_spread":0.2521032575571873,"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."}}