{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009649447,0.000129118,0.000153258,0.0003558382,0.001398925,0.001648449,0.0002320249,0.0002206762,0.005575649],"category_scores_gemma":[0.001709047,0.000119357,0.0001248899,0.0004651499,0.005199518,0.00287952,0.001136906,0.0004790422,0.0004179229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009934376,"about_ca_system_score_gemma":0.0006947152,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006182797,"about_ca_topic_score_gemma":0.01008048,"domain_scores_codex":[0.9994295,0.0001925811,0.0000258087,0.0001311342,0.0001495528,0.00007134538],"domain_scores_gemma":[0.9993355,0.0002757982,0.00008404555,0.0001463301,0.0001059692,0.00005239991],"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":[0.00007071043,0.000008642756,0.004793642,0.0001310642,0.0000115725,0.0003185896,0.05191384,0.0001518438,0.001296984,0.9007318,0.003622229,0.03694912],"study_design_scores_gemma":[0.00002311393,0.0001468548,0.03399212,0.0003134741,0.00004597263,0.002522431,0.06377654,0.001277245,0.003051176,0.2625165,0.6322799,0.00005462244],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3235595,0.0009785151,0.01127288,0.002755031,0.0001546537,0.00002178005,0.0002465732,0.0001376014,0.6608734],"genre_scores_gemma":[0.9885092,0.0001462689,0.0007133411,0.0001279219,0.00001012051,0.000003508351,0.00004569192,0.00002659625,0.01041732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006182797,"threshold_uncertainty_score":0.01865244,"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."}}