{"id":"W2103762386","doi":"10.3138/cmlr.57.3.475","title":"Reading Hypertext: Lower-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":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hypertext; Computer science; Reading (process); Vocabulary; Reading comprehension; Comprehension; Subject (documents); Linguistics; World Wide Web","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":[0.002433459,0.0005567396,0.0007763792,0.002519393,0.00189436,0.01553028,0.001289991,0.002830863,0.01100182],"category_scores_gemma":[0.0150392,0.0006895081,0.000702335,0.003095386,0.007546291,0.01377349,0.002649114,0.003579199,0.002894651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002878477,"about_ca_system_score_gemma":0.002820749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01296008,"about_ca_topic_score_gemma":0.006814618,"domain_scores_codex":[0.9958017,0.001570606,0.0001797433,0.0007645419,0.001243171,0.000440213],"domain_scores_gemma":[0.9873725,0.008184788,0.0007173011,0.001484433,0.00157585,0.0006652028],"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":[0.0002295837,0.0006195389,0.02511283,0.001655531,0.00009457959,0.001969641,0.2571782,0.00198237,0.03338804,0.4274852,0.004525368,0.2457592],"study_design_scores_gemma":[0.0001102948,0.0004609558,0.1496078,0.001214033,0.0001245833,0.002110237,0.04686398,0.01468498,0.01728737,0.645649,0.1216189,0.0002679136],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4430944,0.006560045,0.1320482,0.006962564,0.0001265783,0.000567316,0.0002946275,0.001538591,0.4088076],"genre_scores_gemma":[0.9547532,0.002490779,0.02143879,0.000417436,0.000104175,0.0001787022,0.0002958808,0.0002412175,0.02007987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01553028,"threshold_uncertainty_score":0.0368048,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02722899223168243,"score_gpt":0.2778379043961163,"score_spread":0.2506089121644338,"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."}}