{"id":"W4311681086","doi":"10.22215/etd/2022-15149","title":"The Prevalence of Ethnobotanical Data Inclusion in Linguistic Documentation in Dictionaries from 1960 to 2020","year":2022,"lang":"en","type":"dissertation","venue":"","topic":"Lexicography and Language Studies","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Documentation; Ethnobotany; Inclusion (mineral); Diversity (politics); Affect (linguistics); Linguistics; Interconnectivity; Geography; Computer science; Sociology; Social science; Anthropology; Medicine; Traditional medicine","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":[0.02224244,0.0001937031,0.0004612527,0.01530477,0.002558052,0.005916207,0.001031343,0.0007352967,0.003351361],"category_scores_gemma":[0.1199748,0.0004286869,0.0002873802,0.0219856,0.004272829,0.006347385,0.005961832,0.001365782,0.0009401548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003083782,"about_ca_system_score_gemma":0.005777047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01662948,"about_ca_topic_score_gemma":0.02622156,"domain_scores_codex":[0.9800357,0.00580928,0.004412512,0.002394504,0.006330733,0.001017258],"domain_scores_gemma":[0.7836558,0.09852784,0.0530611,0.01467842,0.04470614,0.005370712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006167813,0.0000783092,0.4826438,0.003240417,0.00009677119,0.001152386,0.1649124,0.0001808558,0.00301479,0.01420027,0.01102097,0.3188423],"study_design_scores_gemma":[0.00001807027,0.0001840848,0.6590984,0.004904661,0.00007504846,0.002149904,0.07942256,0.0002034373,0.002466521,0.001995635,0.2493989,0.00008277562],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9158764,0.02329234,0.001536538,0.01277662,0.0005996135,0.00007275893,0.004196802,0.00006222042,0.04158667],"genre_scores_gemma":[0.973446,0.01197664,0.002563914,0.001087937,0.0002286336,0.00006633805,0.002966569,0.00008084608,0.007583181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02224244,"threshold_uncertainty_score":0.1176307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02686048098940077,"score_gpt":0.3198326751535051,"score_spread":0.2929721941641044,"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."}}