{"id":"W4402776680","doi":"10.1027/1618-3169/a000620","title":"Which Encoding Techniques Facilitate Comprehension?","year":2024,"lang":"en","type":"article","venue":"Experimental Psychology (formerly Zeitschrift für Experimentelle Psychologie)","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Comprehension; Encoding (memory); Reading comprehension; Repetition (rhetorical device); Cognitive psychology; Reading (process); Paraphrase; Perception; Psychology; Cognition; Computer science; Contrast (vision); Linguistics; Natural language processing; Artificial intelligence","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":[0.001180108,0.0003900569,0.0003738985,0.0003723284,0.0001356727,0.001103669,0.0003466131,0.0007417621,0.003023797],"category_scores_gemma":[0.00922441,0.0002289031,0.0003813564,0.0003635417,0.0004147152,0.00259636,0.0004641945,0.0006370024,0.0005871956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001579087,"about_ca_system_score_gemma":0.0002887185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002087851,"about_ca_topic_score_gemma":0.0003506383,"domain_scores_codex":[0.9991118,0.0004387798,0.0001038408,0.0001466758,0.0001144103,0.00008432505],"domain_scores_gemma":[0.9943786,0.003423685,0.001028755,0.0005956976,0.0003489646,0.0002242596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001859813,0.0008294464,0.01152467,0.003164271,0.0001644931,0.0003214453,0.003464684,0.0002414769,0.5075554,0.003327185,0.00121142,0.4663356],"study_design_scores_gemma":[0.001058768,0.01548998,0.266849,0.001868903,0.002086094,0.004196371,0.005120886,0.004864946,0.6370804,0.03073459,0.03042541,0.0002247365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9495916,0.0124432,0.02412318,0.001940161,0.0003128499,0.0002095074,0.0001755875,0.0003742592,0.01082967],"genre_scores_gemma":[0.9716517,0.005623147,0.02058044,0.0003001329,0.000152063,0.00008262358,0.0001470037,0.00009864107,0.001364261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003023797,"threshold_uncertainty_score":0.01011562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.104034980083517,"score_gpt":0.4218502713466581,"score_spread":0.3178152912631411,"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."}}