{"id":"W4221070140","doi":"10.1075/ml.20031.wes","title":"Is it you you’re looking for?","year":2022,"lang":"en","type":"article","venue":"The Mental Lexicon","topic":"Child and Animal Learning Development","field":"Psychology","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Concreteness; Relevance (law); Psychology; Object (grammar); Cognitive psychology; Personal pronoun; Code (set theory); Emoji; Linguistics; Computer science; Artificial intelligence; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.000352238,0.0001080872,0.0001065951,0.00003223513,0.0006028645,0.00002374213,0.000257842,0.00002274118,0.01185566],"category_scores_gemma":[0.000004747043,0.00008519192,0.00009155343,0.00007995945,0.00003664241,0.0000221726,0.000180859,0.0002165994,0.0003446367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009973388,"about_ca_system_score_gemma":0.00001908121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004161011,"about_ca_topic_score_gemma":0.000003828675,"domain_scores_codex":[0.999095,0.00007339597,0.0001492718,0.0002531575,0.0001755507,0.0002536711],"domain_scores_gemma":[0.9996397,0.00004302405,0.00006712085,0.000210898,0.000006855406,0.00003237397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00105692,0.0006032819,0.01816932,0.00002828372,0.0004590286,0.0000316573,0.1649548,0.00004006876,0.007733957,0.05380367,0.676721,0.07639808],"study_design_scores_gemma":[0.0008205592,0.0002553549,0.01057246,0.000009572323,0.00001763919,0.0000284451,0.01338378,0.00003801978,0.0007360086,0.0006106409,0.9733619,0.0001656204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8162044,0.0005023738,0.00003873998,0.03498303,0.002067627,0.0006290218,0.0001039325,0.0001000689,0.1453708],"genre_scores_gemma":[0.9483788,0.000002699991,0.00005815412,0.007760704,0.0001524603,0.0001049301,0.00004363042,0.00002205097,0.04347657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.296641,"threshold_uncertainty_score":0.9890476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04492278462597965,"score_gpt":0.3269659599031526,"score_spread":0.282043175277173,"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."}}