{"id":"W4385986479","doi":"10.1080/15475441.2023.2246438","title":"Learning Concrete and Abstract Novel Words in Emotional Contexts: Evidence from Incidental Vocabulary Learning","year":2023,"lang":"en","type":"article","venue":"Language Learning and Development","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Concreteness; Valence (chemistry); Vocabulary; Psychology; Embodied cognition; Experiential learning; Cognitive psychology; Context (archaeology); Linguistics; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009445034,0.0002380779,0.0002919335,0.0002501897,0.0002990194,0.0001075512,0.00009211074,0.0001670113,0.0009348778],"category_scores_gemma":[0.0004810549,0.000236806,0.00003585554,0.0002481615,0.00007819962,0.0001735979,0.0001375182,0.0009160635,0.0003380646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005825606,"about_ca_system_score_gemma":0.00005842298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001051978,"about_ca_topic_score_gemma":0.0001263855,"domain_scores_codex":[0.9981465,0.0001881638,0.0003811796,0.000554048,0.0003059999,0.0004241299],"domain_scores_gemma":[0.9989598,0.0006405248,0.0001539787,0.00008920005,0.00003420147,0.0001223344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000248037,0.00003183435,0.5193087,0.00007235523,0.0001738541,0.0009073552,0.2454931,0.0002246662,0.01672396,0.00005706991,0.00008466437,0.2166744],"study_design_scores_gemma":[0.001623279,0.0001084226,0.8989932,0.0005726447,0.00001921088,0.00006692216,0.0949059,0.0004842883,0.0004185041,0.00001790155,0.002370228,0.0004195248],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936142,0.004033368,0.0004161895,0.00006883258,0.0002191393,0.0001500693,0.000003372927,0.0002584657,0.001236346],"genre_scores_gemma":[0.9936492,0.000179948,0.0007314029,0.0001213522,0.000142808,0.00004254145,0.000248427,0.00003603569,0.004848298],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3796845,"threshold_uncertainty_score":0.9999784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02309201079646963,"score_gpt":0.3010708912466458,"score_spread":0.2779788804501762,"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."}}