{"id":"W6886045310","doi":"10.14288/1.0447926","title":"Kaska Cards Language Flashcards: \"To Eat\" Present Tense Verb Deck","year":2025,"lang":"en","type":"article","venue":"Open Collections","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Verb; Past tense; Grammar; Present tense; Semantics (computer science)","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":[0.0003843914,0.000485484,0.0002264756,0.0006968533,0.000633305,0.001040463,0.0003556971,0.000337239,0.1269728],"category_scores_gemma":[0.001651394,0.0002681884,0.0001220247,0.000624714,0.0004040335,0.001500781,0.001052066,0.0004650071,0.02547934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002320377,"about_ca_system_score_gemma":0.000349985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001794114,"about_ca_topic_score_gemma":0.005822625,"domain_scores_codex":[0.9998311,0.00004685246,0.00001861797,0.00004140729,0.00003703646,0.00002491502],"domain_scores_gemma":[0.9993176,0.0002866506,0.00004621099,0.0001072414,0.0001748963,0.00006737286],"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":[0.002549043,0.0001642595,0.004153991,0.001174921,0.00002542031,0.001103457,0.01704643,0.0001354095,0.04511302,0.01250495,0.6478392,0.2681899],"study_design_scores_gemma":[0.0002584084,0.000195755,0.0394977,0.0003030158,0.0000368374,0.002373278,0.01009142,0.000847011,0.01324614,0.003687255,0.9293234,0.0001398321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3315102,0.0008517529,0.05120488,0.001723164,0.002574763,0.002229184,0.129308,0.02437328,0.4562248],"genre_scores_gemma":[0.5900939,0.0004432656,0.09695632,0.0008456356,0.0003773319,0.00282344,0.05054853,0.00835729,0.2495543],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1269728,"threshold_uncertainty_score":0.4247665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02122829903593038,"score_gpt":0.3677466900552204,"score_spread":0.3465183910192901,"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."}}