{"id":"W7106276685","doi":"10.14288/1.0450767","title":"Kaska Lessons 76 and 77 : Making Tea Part 1 : Verbs for Tea 1","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":[0.0005152767,0.0006751856,0.0004147603,0.0003769075,0.001253442,0.0009690265,0.0007885961,0.0009421257,0.07490372],"category_scores_gemma":[0.003418129,0.0002248121,0.0003878991,0.0003082317,0.0007729855,0.001099434,0.001726388,0.001548679,0.01917841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005079974,"about_ca_system_score_gemma":0.000817865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001926894,"about_ca_topic_score_gemma":0.007547862,"domain_scores_codex":[0.9994991,0.0001304254,0.00003083655,0.00006470739,0.000150314,0.0001245211],"domain_scores_gemma":[0.9987632,0.0004672609,0.00008323866,0.0001769178,0.0002650431,0.0002444174],"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":[0.001858306,0.001685761,0.006625121,0.00305629,0.00003303403,0.001889825,0.04859138,0.0008832542,0.0632062,0.01220584,0.5183689,0.3415961],"study_design_scores_gemma":[0.0001472864,0.001222978,0.05492749,0.000789338,0.00004060423,0.001283587,0.02392846,0.000519582,0.0217303,0.004383637,0.8908563,0.0001704546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3914071,0.0004936116,0.01942706,0.001741961,0.001425379,0.004354315,0.01305734,0.004576073,0.5635172],"genre_scores_gemma":[0.6265132,0.0006715587,0.06047267,0.001321992,0.0002922018,0.004920668,0.01291037,0.001858755,0.2910387],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07490372,"threshold_uncertainty_score":0.2505779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06335252409761986,"score_gpt":0.3798237239786704,"score_spread":0.3164711998810505,"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."}}