{"id":"W4394230806","doi":"10.6084/m9.figshare.19328939.v3","title":"MultiPic: Multilingual Picture Database","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"Image Retrieval and Classification Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Database; Computer science; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008192834,0.0003103577,0.0002476258,0.0001715852,0.0002269379,0.0002368952,0.003155842,0.0002204388,0.6528044],"category_scores_gemma":[0.001016319,0.0002903948,0.0001352999,0.0004235372,0.000007583974,0.0003046916,0.00200047,0.0008694098,0.001976615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008716897,"about_ca_system_score_gemma":0.0002498091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001673357,"about_ca_topic_score_gemma":0.000005348275,"domain_scores_codex":[0.9980403,0.00009429861,0.0002775531,0.0007160292,0.0005701824,0.0003016891],"domain_scores_gemma":[0.9974982,0.0001563679,0.0002642886,0.001829061,0.0001360073,0.000116142],"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":[0.000001709058,0.00005127358,3.487193e-8,0.0001703043,0.000008791507,0.00008610468,0.00001533532,2.939623e-7,0.0000105754,0.000003505161,0.9946117,0.005040407],"study_design_scores_gemma":[0.0001001518,0.00003287651,0.000003859178,0.0002222017,0.000006063809,0.0000200862,0.000005470692,0.0002833708,0.001234807,0.000009581851,0.997732,0.0003495046],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[2.044159e-8,0.0003220357,0.0002459261,0.0000630628,0.0002206716,0.000325374,0.9983287,0.0004287246,0.00006548293],"genre_scores_gemma":[8.942766e-7,0.00002472394,0.001314263,0.0006370321,0.0001678945,0.00040371,0.9970331,0.00001575905,0.0004026242],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6508278,"threshold_uncertainty_score":0.9999548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04620980439756421,"score_gpt":0.3033849758365019,"score_spread":0.2571751714389376,"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."}}