{"id":"W2884823522","doi":"10.1075/jhl.16023.ros","title":"The Piaroa subject marking system and its diachrony","year":2018,"lang":"en","type":"article","venue":"Journal of Historical Linguistics","topic":"Spanish Linguistics and Language Studies","field":"Arts and Humanities","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Subject (documents); Linguistics; Prefix; Computer science; Grammar; History; Domain (mathematical analysis); Margin (machine learning); Natural language processing; World Wide Web; Philosophy; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009863559,0.0002718247,0.0002166388,0.001403735,0.002045046,0.002717038,0.0006599756,0.000401468,0.003997247],"category_scores_gemma":[0.002357029,0.0002547882,0.0001720124,0.0009975624,0.004249043,0.002475541,0.002179473,0.001002225,0.0003708526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002518205,"about_ca_system_score_gemma":0.000981321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007820342,"about_ca_topic_score_gemma":0.00969514,"domain_scores_codex":[0.9991949,0.0002596895,0.00003675019,0.0002316202,0.0001637029,0.0001132682],"domain_scores_gemma":[0.9988472,0.0003611722,0.0002042777,0.0003267578,0.0001966427,0.0000639445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002936801,0.00007419011,0.0405808,0.0001872584,0.00001791058,0.001668459,0.1323441,0.000381865,0.02718298,0.6862577,0.001581444,0.1094296],"study_design_scores_gemma":[0.0001124163,0.0004496998,0.246172,0.0003694122,0.0001291571,0.009208924,0.09715302,0.007636197,0.0309553,0.255511,0.3520392,0.0002637512],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6935059,0.0007314247,0.02716864,0.001077917,0.0000799848,0.00008005287,0.0002052175,0.0004550194,0.2766958],"genre_scores_gemma":[0.9963862,0.00005340497,0.001549223,0.00001393644,0.000007815187,0.000008662049,0.0000272424,0.00004153673,0.001911972],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007820342,"threshold_uncertainty_score":0.01827097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0229685462278621,"score_gpt":0.2316086990156808,"score_spread":0.2086401527878188,"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."}}