{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005762252,0.0001820561,0.0002351562,0.0004467623,0.0003478061,0.001353228,0.0002251377,0.0003914321,0.0182217],"category_scores_gemma":[0.006639788,0.0001173931,0.0001719736,0.0004660493,0.0005390474,0.00155279,0.0004718112,0.0005106452,0.005323085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002737953,"about_ca_system_score_gemma":0.0002512769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002122237,"about_ca_topic_score_gemma":0.002048234,"domain_scores_codex":[0.99962,0.00009921406,0.0000238297,0.00009781272,0.0001141869,0.00004494134],"domain_scores_gemma":[0.997215,0.001203909,0.0004932588,0.0002755284,0.0005413396,0.0002709119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001026552,0.0003576819,0.4486198,0.001257712,0.0001264101,0.002351134,0.01785606,0.0004016241,0.07512325,0.01452053,0.04524907,0.3931102],"study_design_scores_gemma":[0.00005465186,0.0008164786,0.7089007,0.0007640127,0.0003118318,0.009125289,0.0160443,0.003269929,0.03072673,0.04530812,0.1843928,0.0002852354],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9081368,0.002523617,0.01571583,0.002262677,0.0002566925,0.00008621006,0.002884213,0.0007533138,0.06738055],"genre_scores_gemma":[0.9746975,0.001007454,0.01215766,0.0006020504,0.00004924474,0.0000414687,0.001145718,0.0002199218,0.01007898],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0182217,"threshold_uncertainty_score":0.06095767,"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."}}