{"id":"W4286494955","doi":"10.1038/s41597-022-01552-7","title":"The Multilingual Picture Database","year":2022,"lang":"en","type":"article","venue":"Scientific Data","topic":"Categorization, perception, and language","field":"Psychology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre for Research on Brain Language and Music","funders":"Department of Education and Training; Saint Petersburg State University; Israel Science Foundation; Academy of Finland; Narodowe Centrum Nauki; National Research Foundation of Korea; Comunidad de Madrid","keywords":"Multilingualism; Computer science; Psycholinguistics; Variety (cybernetics); Field (mathematics); Value (mathematics); Linguistics; Natural language processing; Artificial intelligence; Psychology; Mathematics; Cognition","routes":{"ca_aff":true,"ca_fund":false,"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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001683338,0.00007793624,0.00005885014,0.00006311766,0.002139842,0.0002386987,0.001810888,0.00001939085,0.01669971],"category_scores_gemma":[0.0001137616,0.00005795125,0.00002283848,0.0004436273,0.0002261804,0.0001484513,0.001069376,0.0001900008,0.0005577479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002384345,"about_ca_system_score_gemma":0.00008929345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001634988,"about_ca_topic_score_gemma":0.00060201,"domain_scores_codex":[0.9984283,0.0001683127,0.0001622616,0.0006328144,0.0003546064,0.0002536958],"domain_scores_gemma":[0.9965824,0.00007730584,0.00005818171,0.003190684,0.00003770734,0.00005374156],"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":[0.00002558474,0.0001102851,0.0004687542,0.000002789579,0.00001729838,0.00001568322,0.009018926,0.00001194011,0.001156508,0.003439551,0.966107,0.01962567],"study_design_scores_gemma":[0.0002149653,0.000009543472,0.002742975,7.122506e-7,0.00001262063,0.00002079999,0.01180704,0.000345498,0.00001792144,0.0001125149,0.9846308,0.00008458056],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7651758,0.005204816,0.003125314,0.002898743,0.08926574,0.001653808,0.08929615,0.0006881805,0.04269142],"genre_scores_gemma":[0.7606432,0.000007487957,0.0001559865,0.000348164,0.0005555562,0.00004815872,0.05783761,0.00002608891,0.1803778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1376863,"threshold_uncertainty_score":0.9991592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06283960389950143,"score_gpt":0.3644330016659291,"score_spread":0.3015933977664276,"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."}}