{"id":"W4248382567","doi":"10.3138/cmlr.57.4.590","title":"Reading Hypertext: Higher-Level Processes","year":2001,"lang":"en","type":"article","venue":"Canadian Modern Language Review/ La Revue canadienne des langues vivantes","topic":"Second Language Acquisition and Learning","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypertext; Reading (process); Meaning (existential); Computer science; Allusion; World Wide Web; Perspective (graphical); Multimedia; Linguistics; Psychology; 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":[0.002791586,0.0005976079,0.0006794332,0.001982257,0.001579768,0.01254574,0.001168383,0.002876955,0.01065559],"category_scores_gemma":[0.01523176,0.0006088571,0.0008626062,0.00296987,0.007038383,0.01469491,0.002838566,0.00289252,0.002308812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002073844,"about_ca_system_score_gemma":0.002122552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004988316,"about_ca_topic_score_gemma":0.002700935,"domain_scores_codex":[0.99701,0.001238211,0.000158204,0.0005743296,0.0008329737,0.0001862823],"domain_scores_gemma":[0.9904269,0.007071898,0.0005380916,0.0008045131,0.0008807429,0.0002777869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001905716,0.0003195594,0.01343185,0.002215522,0.00007770091,0.001394419,0.1592545,0.001489077,0.0148668,0.5003232,0.005708137,0.3007288],"study_design_scores_gemma":[0.000110488,0.000306899,0.05764288,0.00141112,0.0001167988,0.001848843,0.02280086,0.007144956,0.01215291,0.7584392,0.1378251,0.000199844],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3034863,0.029849,0.2549042,0.01719945,0.0005653455,0.0006615476,0.0003238583,0.00150547,0.3915047],"genre_scores_gemma":[0.9117674,0.0122111,0.05158542,0.001177913,0.0004777364,0.0002903787,0.00043258,0.0003497165,0.02170789],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01254574,"threshold_uncertainty_score":0.0356465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03232595461636588,"score_gpt":0.2819852305921273,"score_spread":0.2496592759757614,"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."}}