{"id":"W4394406252","doi":"10.6084/m9.figshare.19328939.v2","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":"Computer science; Database; Information retrieval; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009169936,0.004386756,0.002131674,0.004122613,0.001213524,0.002031796,0.005408896,0.002906309,0.02746237],"category_scores_gemma":[0.00309194,0.0007847104,0.001602116,0.005270018,0.0006648505,0.002246886,0.002639788,0.001850119,0.03644552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002142618,"about_ca_system_score_gemma":0.002011008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03733685,"about_ca_topic_score_gemma":0.06861456,"domain_scores_codex":[0.9983992,0.0002098403,0.0002042246,0.0004931694,0.0004823278,0.0002111197],"domain_scores_gemma":[0.9987907,0.0001620644,0.00007895975,0.0004266731,0.0003947932,0.000146819],"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":[0.000358374,0.0002301622,0.00144722,0.001339374,0.0001057337,0.0001937112,0.00006634653,0.0009547649,0.001290447,0.0006102979,0.976766,0.01663759],"study_design_scores_gemma":[0.0007025226,0.0002283861,0.0176233,0.0004234742,0.0001708326,0.00110114,0.0005704523,0.01024569,0.006744606,0.001862476,0.9601281,0.0001989482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003514307,0.0005738314,0.0006638816,0.0001484332,0.00009029706,0.0001665556,0.9897692,0.002563591,0.002509871],"genre_scores_gemma":[0.002060287,0.00008038358,0.0009768198,0.0000393287,0.000007665124,0.0001154241,0.9959559,0.00005267613,0.0007115925],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03733685,"threshold_uncertainty_score":0.09187078,"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."}}