{"id":"W4396910630","doi":"10.31261/neo.2023.35.13","title":"Russian Free Phrasal Indefinite Pronouns","year":2023,"lang":"en","type":"article","venue":"Neophilologica 2019","topic":"Discourse Analysis and Cultural Communication","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Personal pronoun; Linguistics; Pronoun; Natural language processing; Computer science; Psychology; Artificial intelligence; Philosophy","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":[0.0009542578,0.0007638137,0.0004827285,0.001119131,0.001714383,0.002255213,0.0006899521,0.0005747678,0.007223706],"category_scores_gemma":[0.0009795938,0.0004714729,0.0005369781,0.001306128,0.002527484,0.003346518,0.002031248,0.001146357,0.003712974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001009156,"about_ca_system_score_gemma":0.0006360682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001913295,"about_ca_topic_score_gemma":0.001865257,"domain_scores_codex":[0.998822,0.0003650273,0.0001670508,0.0002725033,0.0002328513,0.000140478],"domain_scores_gemma":[0.9993117,0.0002121583,0.00009637139,0.0001599297,0.0001846792,0.00003517635],"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":[0.0001281679,0.00002433577,0.002065911,0.0004822273,0.00004217108,0.00087514,0.01392277,0.0004157759,0.01436098,0.9165571,0.004304321,0.04682105],"study_design_scores_gemma":[0.00004464079,0.0002096777,0.007244334,0.0002112878,0.0001718298,0.003640868,0.006594757,0.003525881,0.02095786,0.1691248,0.7881331,0.0001409202],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3556304,0.006468845,0.2656698,0.001716362,0.001146863,0.000219027,0.002752326,0.002401759,0.3639946],"genre_scores_gemma":[0.9344608,0.001854443,0.0227902,0.0001874851,0.0001930495,0.00006864675,0.001579049,0.0004035655,0.03846272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007223706,"threshold_uncertainty_score":0.02416569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05448773989908059,"score_gpt":0.3504408899113712,"score_spread":0.2959531500122906,"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."}}