{"id":"W7119502199","doi":"10.1075/aplv.25004.leu","title":"Detecting paths of change in the heritage context","year":2025,"lang":"en","type":"article","venue":"Asia-Pacific Language Variation","topic":"Categorization, perception, and language","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Variation (astronomy); Homeland; Event (particle physics); Context (archaeology); Expression (computer science); Motion (physics); Baseline (sea); Immigration","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005278297,0.000155518,0.0001297633,0.001027296,0.0006695155,0.001228607,0.0002197417,0.0002241401,0.001932962],"category_scores_gemma":[0.002795276,0.0001445314,0.0001270949,0.0008243117,0.0009224073,0.0008095977,0.00111111,0.0002596819,0.0001027842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001236135,"about_ca_system_score_gemma":0.0006531358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07745932,"about_ca_topic_score_gemma":0.1153662,"domain_scores_codex":[0.9996909,0.0001147258,0.00001122816,0.00008568374,0.00004362875,0.00005387519],"domain_scores_gemma":[0.9989525,0.0004312105,0.0001759776,0.0001305056,0.0002159969,0.00009368094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005906404,0.00003988004,0.6894703,0.0001816768,0.00006205063,0.001386709,0.1584956,0.001231041,0.05403478,0.007592085,0.0008305355,0.08608471],"study_design_scores_gemma":[0.000006031462,0.00006544908,0.9228869,0.00003962229,0.00001946289,0.0002246347,0.06621306,0.002361762,0.002224188,0.00127464,0.004654017,0.00003015932],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955031,0.00006531987,0.001433981,0.0000313808,0.000003598295,0.00001206777,0.0001271535,0.00001283461,0.002810529],"genre_scores_gemma":[0.9989589,0.00002365189,0.0006652247,0.000003965738,6.65462e-7,0.000005743771,0.00007831396,0.000004585225,0.0002588262],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07745932,"threshold_uncertainty_score":0.154017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02366526315307739,"score_gpt":0.3108701189053335,"score_spread":0.2872048557522561,"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."}}