{"id":"W1997810555","doi":"10.1080/17470218.2014.975728","title":"Semantic classification of pictures and words","year":2014,"lang":"en","type":"article","venue":"Quarterly Journal of Experimental Psychology","topic":"Language, Metaphor, and Cognition","field":"Psychology","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Semantic memory; Lexical decision task; Word (group theory); Natural language processing; Computer science; Semantics (computer science); Task (project management); Psychology; Point (geometry); Artificial intelligence; Cognitive psychology; Linguistics; Cognition","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":[0.002708627,0.0004780933,0.0003425992,0.002250565,0.0003510205,0.001036105,0.0005032022,0.0004946709,0.006859294],"category_scores_gemma":[0.02192999,0.0002315332,0.0003827081,0.0008624915,0.001150321,0.002567891,0.002026803,0.0007554679,0.0009950631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003235006,"about_ca_system_score_gemma":0.000268282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005915716,"about_ca_topic_score_gemma":0.001204375,"domain_scores_codex":[0.9962156,0.001149971,0.0007574924,0.0005390422,0.001178849,0.0001590451],"domain_scores_gemma":[0.983909,0.006425143,0.002528487,0.003744414,0.002785265,0.0006077578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003582567,0.001953088,0.1716771,0.001823131,0.0002436015,0.0005547933,0.01242955,0.001124377,0.3381426,0.03681007,0.009894497,0.4217646],"study_design_scores_gemma":[0.0001902366,0.002139618,0.8317922,0.0002308569,0.0001016055,0.002357513,0.003648649,0.005102441,0.06684751,0.0413946,0.04592988,0.0002649012],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8787677,0.0005589468,0.06514076,0.0003589948,0.0003196826,0.0008610866,0.003846199,0.000737591,0.04940913],"genre_scores_gemma":[0.9383827,0.0002717045,0.05264658,0.0002485787,0.0001027853,0.001455756,0.003655918,0.000343473,0.002892563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006859294,"threshold_uncertainty_score":0.02294666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02465154502103202,"score_gpt":0.3511116429934976,"score_spread":0.3264600979724656,"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."}}