{"id":"W3036211922","doi":"10.3758/s13428-020-01397-1","title":"CompLex: an eye-movement database of compound word reading in English","year":2020,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Reading and Literacy Development","field":"Psychology","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; McMaster University","keywords":"Eye movement; Sentence; Reading (process); Population; Natural language processing; Sample (material); Computer science; Word lists by frequency; Set (abstract data type); Word (group theory); Eye tracking; Word recognition; Artificial intelligence; Psychology; Database; Linguistics; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.007944384,0.000182443,0.0004213206,0.0004301093,0.0001065179,0.00006936292,0.0006383058,0.00009854315,0.001751677],"category_scores_gemma":[0.0006666445,0.000180718,0.00006248613,0.001012602,0.0001981723,0.0001827809,0.0003097354,0.000783607,0.00004544526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001299576,"about_ca_system_score_gemma":0.0001043446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009052476,"about_ca_topic_score_gemma":0.00002370866,"domain_scores_codex":[0.9933235,0.003975229,0.0006655967,0.0006627053,0.0006616971,0.0007112609],"domain_scores_gemma":[0.997772,0.0007301533,0.00009773787,0.0007060471,0.0003001965,0.000393888],"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":[0.0007357289,0.00237124,0.2571914,0.0001946299,0.00007592891,0.0006652675,0.1021062,0.000006356802,0.2421411,0.007321085,0.009626693,0.3775644],"study_design_scores_gemma":[0.002732615,0.0008231991,0.8338286,0.0002230236,0.00003101127,0.000006276753,0.01823296,0.0002960815,0.01720705,0.0002874302,0.1257222,0.0006095953],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986133,0.0001462495,0.002373899,0.000351621,0.0003865752,0.0008920634,0.0000727244,0.00008843705,0.009555388],"genre_scores_gemma":[0.7350037,0.00001929386,0.2627756,0.0002691096,0.0002207234,0.000423184,0.0002025845,0.00005759747,0.001028157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5766372,"threshold_uncertainty_score":0.9991609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4670532478115519,"score_gpt":0.6103505975625049,"score_spread":0.1432973497509529,"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."}}