{"id":"W2600133186","doi":"10.1080/17470218.2017.1311353","title":"Memory demands in linguistic compensation","year":2017,"lang":"en","type":"article","venue":"Quarterly Journal of Experimental Psychology","topic":"Reading and Literacy Development","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Dictation; Working memory; Task (project management); Set (abstract data type); Cognitive psychology; Psychology; Cognition; Computer science; Speech recognition","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":[0.001262213,0.0003493913,0.0002275288,0.000417549,0.0004908836,0.00117918,0.000390658,0.0006720165,0.002804224],"category_scores_gemma":[0.01448428,0.0001811177,0.0001382534,0.0001743063,0.0007522187,0.0008467287,0.00102277,0.0004945273,0.000249466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004818752,"about_ca_system_score_gemma":0.0003589034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009509872,"about_ca_topic_score_gemma":0.0009180672,"domain_scores_codex":[0.9989746,0.0003163042,0.0001300421,0.0001749723,0.0002953358,0.0001087971],"domain_scores_gemma":[0.994156,0.002881063,0.001269806,0.0007572955,0.0005352872,0.000400416],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003006444,0.0008712086,0.3671828,0.0005363983,0.0001854114,0.00550215,0.03929671,0.003663318,0.2874788,0.01672258,0.001569076,0.2739851],"study_design_scores_gemma":[0.0001793034,0.001328071,0.8797929,0.0001475606,0.0001571772,0.007207691,0.01623429,0.006855389,0.03995399,0.04071154,0.007272249,0.0001597892],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947541,0.0002383097,0.001120892,0.0002181234,0.00000939931,0.00000624927,0.00001586486,0.00001501985,0.003622087],"genre_scores_gemma":[0.9991235,0.00002767396,0.0003175338,0.00003923889,0.000007039481,0.000006258161,0.00001731269,0.000005580197,0.0004559253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002804224,"threshold_uncertainty_score":0.009381056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03892640174323023,"score_gpt":0.4053701112065668,"score_spread":0.3664437094633365,"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."}}