{"id":"W6923474349","doi":"10.14288/1.0447479","title":"Kaska Cards Language Flashcards : Transportation Deck 1","year":2024,"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":"Deck; Weaving; Noun; Smart card; English language","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":[0.0003058349,0.0007105942,0.0002754046,0.0009472377,0.0007974868,0.001217171,0.0004378613,0.0003600245,0.1201599],"category_scores_gemma":[0.001239818,0.0002716828,0.0001618458,0.001089835,0.0004519842,0.002105749,0.001223946,0.0004309749,0.02960291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003120685,"about_ca_system_score_gemma":0.0004398836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002076105,"about_ca_topic_score_gemma":0.006688374,"domain_scores_codex":[0.9998073,0.00004223795,0.00002344046,0.00004772372,0.00004566999,0.00003368367],"domain_scores_gemma":[0.9994778,0.0001499175,0.00003783707,0.0000811408,0.0001931474,0.00006011567],"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":[0.001800962,0.0001311229,0.00532211,0.001303442,0.00002508851,0.001206905,0.0103514,0.0002091525,0.03086939,0.009923114,0.6281703,0.310687],"study_design_scores_gemma":[0.00009356774,0.000189924,0.03057399,0.0002985676,0.00003032617,0.001952201,0.009819202,0.000588798,0.007446006,0.001970928,0.9469111,0.00012543],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.3319457,0.001657226,0.03415412,0.001291152,0.003092461,0.002051689,0.1067701,0.01844105,0.5005965],"genre_scores_gemma":[0.5347143,0.001091982,0.08369904,0.0009156807,0.0005019416,0.002683862,0.0553147,0.005667001,0.3154115],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1201599,"threshold_uncertainty_score":0.4019751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02221334910533514,"score_gpt":0.3533481230929576,"score_spread":0.3311347739876225,"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."}}