{"id":"W7106279755","doi":"10.14288/1.0450768","title":"Kaska Lessons 76 and 77 : Making Tea Part 1 : Verbs for Tea 2","year":2025,"lang":"kkz","type":"article","venue":"Open Collections","topic":"Australian Indigenous Culture and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Set (abstract data type); Grammar; Semantics (computer science); First language; Pronunciation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005235042,0.0006805518,0.0004256529,0.0003934522,0.001242434,0.001038345,0.0008072532,0.0009640216,0.07166457],"category_scores_gemma":[0.003386256,0.0002398485,0.0004063658,0.0003206943,0.0007608345,0.001111143,0.001722213,0.00161555,0.01798997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005168156,"about_ca_system_score_gemma":0.0008576923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002087826,"about_ca_topic_score_gemma":0.007799352,"domain_scores_codex":[0.9994683,0.0001323575,0.00003307609,0.00007202737,0.0001612501,0.0001329848],"domain_scores_gemma":[0.998746,0.0004738298,0.00008267885,0.0001833009,0.0002628398,0.000251296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002083937,0.001919714,0.007345684,0.003205239,0.00003706127,0.002131516,0.0523381,0.001000611,0.06930192,0.01271694,0.4934748,0.3544445],"study_design_scores_gemma":[0.0001664926,0.001231921,0.06134184,0.0008095175,0.00004342539,0.001387105,0.02368565,0.0005724079,0.02331522,0.004380547,0.8828891,0.000176791],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3954573,0.0004740659,0.01867072,0.00158107,0.001334969,0.004205287,0.01261446,0.004101636,0.5615605],"genre_scores_gemma":[0.6385892,0.0006382114,0.05785906,0.001256329,0.0002809245,0.005001809,0.01320852,0.001816704,0.2813492],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07166457,"threshold_uncertainty_score":0.2397419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06124720140486599,"score_gpt":0.3791741726251873,"score_spread":0.3179269712203213,"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."}}