{"id":"W6957938329","doi":"10.60692/2b6qc-heg49","title":"The Multilingual Picture Database","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Categorization, perception, and language","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre for Research on Brain Language and Music","funders":"","keywords":"Multilingualism; Variety (cybernetics); Psycholinguistics; Field (mathematics); Value (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001245397,0.001688544,0.001234138,0.004638133,0.001200987,0.002256181,0.003912907,0.001931014,0.03858117],"category_scores_gemma":[0.006166516,0.00058004,0.001038602,0.006074622,0.0005664258,0.003789365,0.003988384,0.002090046,0.04594653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001533571,"about_ca_system_score_gemma":0.002372404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02150759,"about_ca_topic_score_gemma":0.03640762,"domain_scores_codex":[0.9983102,0.0002740018,0.0002684253,0.0005102704,0.0004657993,0.0001712756],"domain_scores_gemma":[0.9976483,0.0003115375,0.0001724449,0.0008671383,0.0006829902,0.000317577],"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":[0.0004353047,0.0001608793,0.003852368,0.001756791,0.0001139307,0.0003085425,0.0003241306,0.0006974836,0.001954884,0.002945988,0.9568526,0.03059715],"study_design_scores_gemma":[0.0002402422,0.00007524694,0.01415292,0.0002625156,0.00006287537,0.0004434616,0.0006826498,0.002786201,0.002492837,0.002502907,0.976204,0.00009417078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005333666,0.0005460483,0.001488117,0.0002685296,0.00008046152,0.000194353,0.9820753,0.003791507,0.006222075],"genre_scores_gemma":[0.003666699,0.0001059362,0.002111067,0.00005632991,0.0000086223,0.0001874307,0.9926825,0.0001847866,0.0009965861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03858117,"threshold_uncertainty_score":0.1290668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931535750093024,"score_gpt":0.2600784471650989,"score_spread":0.2307630896641686,"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."}}