{"id":"W7029455528","doi":"","title":"Investigating the Interaction Between Semantic Knowledge and Motor Engagement in the Recognition of Unfamiliar Text","year":2025,"lang":"en","type":"dissertation","venue":"QSpace (Queen's University Library)","topic":"Writing and Handwriting Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Handwriting; Recognition memory; Semantic memory; Word recognition; Cognition; Phonology; Word (group theory); Semantics (computer science)","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":[0.0005469152,0.0001340932,0.0001794914,0.0002931636,0.0006850443,0.0001032995,0.0003194368,0.0001760471,0.00003092183],"category_scores_gemma":[0.0003303337,0.0001176905,0.00006343089,0.000615041,0.0001185396,0.0004872698,0.00004726769,0.0005014252,0.000005338916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008321317,"about_ca_system_score_gemma":0.0004188243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0165789,"about_ca_topic_score_gemma":0.002785382,"domain_scores_codex":[0.9981203,0.001106028,0.0001732961,0.0002348566,0.0001960692,0.0001694621],"domain_scores_gemma":[0.9983648,0.001129327,0.0002443783,0.0001468762,0.0000733418,0.00004129611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001340743,0.0004380211,0.1125361,0.002643249,0.0002724207,0.00001018874,0.6569712,0.000009642175,0.00005859373,0.02525149,0.1227307,0.07894437],"study_design_scores_gemma":[0.0003539102,0.00007168439,0.1620108,0.002717878,0.0002704243,5.490549e-8,0.7531828,0.0000112077,0.0004310566,0.002973166,0.07764007,0.0003368812],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8985244,0.00005739688,0.000005662754,0.02169589,0.0002846823,0.0005306819,0.00002504665,0.00006094245,0.07881527],"genre_scores_gemma":[0.954601,0.0005460574,0.000198936,0.0000566569,0.0002108765,0.000004108116,0.0003347629,0.00001084114,0.04403677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09621166,"threshold_uncertainty_score":0.9899698,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753514631254328,"score_gpt":0.2754935049656012,"score_spread":0.2479583586530579,"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."}}