{"id":"W2982313940","doi":"10.17613/cnkk-6850","title":"Ḵaḵotłatłano'xw xa ḵwaḵwax 'mas: Documenting and reclaiming plant names and words in Kwakwala on Canada's west coast","year":2019,"lang":"en","type":"article","venue":"Humanities Commons CORE (Modern Language Association / Columbia University)","topic":"Ethnobotanical and Medicinal Plants Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Documentation; Library science; Discipline; Linguistics; Process (computing); Sociology; History; World Wide Web; Visual arts; Computer science; Art; Social science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001905431,0.0001363316,0.0002730958,0.00003392228,0.0004744685,0.0001039902,0.0001453626,0.00009288942,0.0001189228],"category_scores_gemma":[0.00008235726,0.00009800747,0.00003056779,0.0001623531,0.00005120182,0.000142263,0.0001628953,0.0002547237,0.000002369362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003250262,"about_ca_system_score_gemma":0.00002682162,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3432344,"about_ca_topic_score_gemma":0.9894279,"domain_scores_codex":[0.998893,0.00009191073,0.000158695,0.0002709515,0.0002759375,0.0003094589],"domain_scores_gemma":[0.9989155,0.0007568838,0.0001585785,0.00005367315,0.00004644689,0.00006895258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001054866,0.0001115283,0.9656018,0.00006000628,0.0001075818,0.0002728861,0.008851714,0.000008353237,0.002933438,0.001956665,0.001667333,0.01832321],"study_design_scores_gemma":[0.001191112,0.0003709844,0.830789,0.0003934328,0.00006134447,0.00001210392,0.132479,0.0003925958,0.00003830224,0.0002698921,0.03341744,0.000584789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.985226,0.0001949275,3.835772e-7,0.0005959834,0.0001048202,0.000189649,0.0001826634,0.00004183346,0.01346369],"genre_scores_gemma":[0.9890344,0.0001212375,0.000004930072,0.0003171827,0.000058586,0.000001291078,0.00008643092,0.000001946306,0.01037398],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6461936,"threshold_uncertainty_score":0.6611391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139782742112108,"score_gpt":0.1754824690212035,"score_spread":0.1615041948099927,"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."}}