{"id":"W4285026800","doi":"10.3758/s13423-022-02140-x","title":"Production can enhance semantic encoding: Evidence from forced-choice recognition with homophone versus synonym lures","year":2022,"lang":"en","type":"article","venue":"Psychonomic Bulletin & Review","topic":"Memory Processes and Influences","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Homophone; Psychology; Cognitive psychology; Optimal distinctiveness theory; Encoding (memory); Production (economics); False memory; Cognition; Recognition memory; Semantic memory; Communication; Social psychology; Recall; Neuroscience; Linguistics","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":[0.002423073,0.0006147915,0.0007654137,0.0003637052,0.000186781,0.001562385,0.0005117831,0.0007899247,0.004054483],"category_scores_gemma":[0.009625949,0.0003520984,0.0004119447,0.000288094,0.001256578,0.001906271,0.0008015545,0.001112615,0.0009110725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000237691,"about_ca_system_score_gemma":0.0003070227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003803386,"about_ca_topic_score_gemma":0.000467194,"domain_scores_codex":[0.9990657,0.0002480512,0.0001008726,0.0002855038,0.0002248005,0.00007501983],"domain_scores_gemma":[0.9932703,0.003391342,0.001485731,0.001098206,0.0005217764,0.0002325352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006228278,0.000857205,0.01567875,0.00139375,0.000326272,0.0006732615,0.001183021,0.0001694211,0.8252534,0.003274853,0.001079034,0.1438826],"study_design_scores_gemma":[0.001106116,0.007095505,0.297723,0.0004128191,0.0009491629,0.004619159,0.001549381,0.001735692,0.6381,0.03357652,0.01289509,0.0002377279],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9853903,0.004283694,0.005101809,0.0005394176,0.000216947,0.00003757272,0.0002921679,0.00007242055,0.004065663],"genre_scores_gemma":[0.9881368,0.00444458,0.004205037,0.0003951216,0.0001184109,0.00004146187,0.0006688965,0.000128992,0.00186085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004054483,"threshold_uncertainty_score":0.01356363,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08347037682336102,"score_gpt":0.3161101098410006,"score_spread":0.2326397330176396,"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."}}