{"id":"W4282597487","doi":"10.3390/languages7020148","title":"Nobody’s Perfect","year":2022,"lang":"en","type":"article","venue":"Languages","topic":"Syntax, Semantics, Linguistic Variation","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Resultative; Linguistics; Narrative; Swahili; Computer science; Psychology; Verb; Philosophy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001382913,0.00006389042,0.00007970525,0.00005156218,0.0003714133,0.00006531818,0.0001121451,0.000008565295,0.01899376],"category_scores_gemma":[0.0001053731,0.00006144496,0.00003961344,0.00001819053,0.00003050213,0.00003188345,0.00006947097,0.00009431066,0.0001661111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003227343,"about_ca_system_score_gemma":0.00001308961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001661988,"about_ca_topic_score_gemma":0.0006222802,"domain_scores_codex":[0.9994568,0.00004561489,0.00009324163,0.0001162398,0.0001653132,0.0001228105],"domain_scores_gemma":[0.9997041,0.00005915196,0.00004344446,0.0001466993,0.00002804831,0.00001857918],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007866209,0.00005361742,0.000663711,0.00001506839,0.00002855172,0.00004006918,0.111552,0.00002769475,0.0001667067,0.8819354,0.003482298,0.002027027],"study_design_scores_gemma":[0.0009242948,0.0003262747,0.003513506,0.00001956383,0.0001282615,0.00003853125,0.2396922,0.001363027,0.0005030931,0.06531428,0.6874559,0.0007211383],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.554371,0.0004868058,0.00008498121,0.01787291,0.003989559,0.0002508309,0.0001411339,0.0004285348,0.4223742],"genre_scores_gemma":[0.9832532,0.000001381052,0.0001224716,0.0004286213,0.001378953,0.00002288435,0.00004066212,0.00001536734,0.01473651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8166211,"threshold_uncertainty_score":0.981903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01872035495395235,"score_gpt":0.243629759442669,"score_spread":0.2249094044887166,"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."}}