{"id":"W4392847563","doi":"10.1075/lab.23001.sha","title":"Protracted development in the heritage lexicon","year":2024,"lang":"en","type":"article","venue":"Linguistic Approaches to Bilingualism","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Lexicon; Computer science; Psychology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0007039826,0.0002293126,0.0001945667,0.0002126157,0.0002919047,0.0004802588,0.0002985773,0.00005096321,0.0001792384],"category_scores_gemma":[0.0003438283,0.0001437597,0.00008878244,0.0002023005,0.0001745133,0.00005024945,0.00006293007,0.0003201485,0.00009900354],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003502649,"about_ca_system_score_gemma":0.000102348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002012714,"about_ca_topic_score_gemma":0.001778818,"domain_scores_codex":[0.998533,0.00008332921,0.0003666395,0.0003968769,0.0002669464,0.0003531677],"domain_scores_gemma":[0.9993938,0.0002347367,0.00003138449,0.0002484344,0.00004178139,0.00004993087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009576495,0.00008038394,0.00002809024,0.000155771,0.00004133876,0.0001293216,0.619818,0.00000271246,0.000004268612,0.3734309,0.0001972611,0.006102291],"study_design_scores_gemma":[0.0001404458,0.00006155513,0.0002265934,0.0002431463,0.00003201322,0.000009624254,0.04291871,0.0001460384,0.0001183059,0.006943424,0.9487916,0.0003684942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4718622,0.007306709,0.000291662,0.003194318,0.003100912,0.002664921,0.00005259002,0.0008376418,0.5106891],"genre_scores_gemma":[0.993373,0.000003543596,0.00137846,0.0006355293,0.001862424,0.000319669,0.00002621969,0.00002944273,0.002371724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9485944,"threshold_uncertainty_score":0.5862352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.188186108730783,"score_gpt":0.2728991674967229,"score_spread":0.08471305876593993,"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."}}