{"id":"W1966003612","doi":"10.7202/003811ar","title":"Particles in Northern Athapaskan Languages","year":2002,"lang":"en","type":"article","venue":"Meta Journal des traducteurs","topic":"Linguistic Variation and Morphology","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Linguistics; Nominalization; Translation (biology); Computer science; Mathematics; Noun; Philosophy; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0003653797,0.0002720337,0.0004212407,0.0009623161,0.002508076,0.001479045,0.0002403885,0.0003344115,0.0041627],"category_scores_gemma":[0.0006936481,0.0003003809,0.0001635634,0.001849904,0.001858786,0.001399353,0.001070375,0.0005581444,0.0004973343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007189785,"about_ca_system_score_gemma":0.0005705397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01013417,"about_ca_topic_score_gemma":0.01353823,"domain_scores_codex":[0.9996716,0.00005818,0.00002880844,0.0001121922,0.00006667934,0.00006251227],"domain_scores_gemma":[0.9996846,0.0001301205,0.00006110592,0.00003995408,0.00005403137,0.00003029767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001349211,0.0002078646,0.1486966,0.0009847509,0.0001686689,0.006051876,0.3354406,0.00156309,0.1530633,0.1518809,0.002222528,0.1983705],"study_design_scores_gemma":[0.0001107951,0.0004656377,0.766205,0.0002363313,0.0002413923,0.009638907,0.08029069,0.002568426,0.01445777,0.03695779,0.0886526,0.0001747533],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775364,0.0003378745,0.0008070183,0.0001086859,0.000007667762,0.00001090581,0.000117428,0.00001898063,0.02105492],"genre_scores_gemma":[0.997777,0.0001616373,0.0003783888,0.00001300414,0.000004125911,0.000007792893,0.00008845885,0.00001068848,0.001558751],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01013417,"threshold_uncertainty_score":0.02015036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06385359176898739,"score_gpt":0.3136555868433837,"score_spread":0.2498019950743963,"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."}}