{"id":"W6958385062","doi":"10.6084/m9.figshare.19328939.v5","title":"MultiPic: Multilingual Picture Database","year":2022,"lang":"en","type":"dataset","venue":"Figshare","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mandarin Chinese; Malay; Set (abstract data type); Data set; Government (linguistics); Estonian","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":[0.0009317061,0.00477534,0.00235774,0.004119341,0.001180722,0.002527665,0.005228693,0.00393847,0.05651277],"category_scores_gemma":[0.005156117,0.00108609,0.002139624,0.005597519,0.0007008383,0.003172227,0.003291052,0.002222514,0.07171573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001928779,"about_ca_system_score_gemma":0.001980071,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03664078,"about_ca_topic_score_gemma":0.06263071,"domain_scores_codex":[0.9983894,0.0002689801,0.0001848911,0.0005894037,0.0003940667,0.0001733896],"domain_scores_gemma":[0.9982399,0.0004371011,0.0001048593,0.0005910419,0.0004498001,0.0001773672],"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":[0.0002540559,0.000107458,0.001124911,0.001555707,0.000104453,0.0001645601,0.00006746811,0.0008716949,0.0006276048,0.0005618891,0.9854036,0.009156599],"study_design_scores_gemma":[0.0005527585,0.0001166246,0.01209683,0.0005837641,0.0001487387,0.0007191924,0.0004126904,0.006288511,0.002573369,0.002346523,0.9739741,0.0001869433],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001079719,0.0004047426,0.0003823695,0.00009336561,0.00005576423,0.00005493085,0.9943811,0.002080156,0.001467791],"genre_scores_gemma":[0.001029346,0.00006458537,0.0005883675,0.00003432645,0.000005248502,0.00008572252,0.9976132,0.00007649241,0.000502734],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05651277,"threshold_uncertainty_score":0.1890541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07766491267446812,"score_gpt":0.3423546073327636,"score_spread":0.2646896946582955,"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."}}