{"id":"W2167848283","doi":"10.3758/s13428-011-0101-0","title":"The nature of orthographic–phonological and orthographic–semantic relationships for Japanese kana and kanji words","year":2011,"lang":"en","type":"article","venue":"Behavior Research Methods","topic":"Reading and Literacy Development","field":"Psychology","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Kana; Kanji; Linguistics; Word (group theory); Natural language processing; Psychology; Reading (process); Orthographic projection; Artificial intelligence; Computer science; Chinese characters","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01241178,0.0001826451,0.0002982963,0.0005259183,0.0006987772,0.00006448929,0.000329229,0.0004360256,0.00007956909],"category_scores_gemma":[0.001375122,0.0001190017,0.0001092764,0.0009235546,0.001053454,0.00007598908,0.0001571359,0.001357911,0.000002701669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001064685,"about_ca_system_score_gemma":0.00004018018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001700525,"about_ca_topic_score_gemma":0.00007053384,"domain_scores_codex":[0.9950579,0.003019608,0.0004588007,0.0005275338,0.000329625,0.0006065159],"domain_scores_gemma":[0.9946876,0.004104949,0.0001138812,0.0005770071,0.0003166337,0.0001999549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004590279,0.0003069948,0.7426615,0.00007003164,0.0001263143,0.00003027236,0.0166175,1.636569e-8,0.0009375432,0.03875548,0.0005484201,0.1994869],"study_design_scores_gemma":[0.0004737038,0.0003154558,0.9804677,0.00004132436,0.00005378351,0.00005793335,0.004966,0.000006063353,0.0001817838,0.004369674,0.008905653,0.0001609015],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905383,0.0047648,0.0006184892,0.0002105949,0.0002978062,0.001056255,0.00001368045,0.00004223994,0.002457831],"genre_scores_gemma":[0.930707,0.0004049089,0.06599627,0.00001501319,0.00003419153,0.0007709772,0.000008495801,0.00002768093,0.002035506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2378062,"threshold_uncertainty_score":0.5899525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3132455091299252,"score_gpt":0.5334611814445118,"score_spread":0.2202156723145866,"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."}}