{"id":"W6950588227","doi":"10.5287/bodleianjy6s.2","title":"Postcard 'Canada finds a little dog in Hun trenches and presents it to nurse'","year":2013,"lang":"en","type":"dataset","venue":"Oxford University Research Archive (ORA) (University of Oxford)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Clothing; Feature (linguistics)","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":[0.001364947,0.002521015,0.001537634,0.005382497,0.001324101,0.003958439,0.002616862,0.00342604,0.1688544],"category_scores_gemma":[0.01178616,0.0007596492,0.001365305,0.008441834,0.0008552065,0.002041772,0.002584856,0.002251005,0.1607349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003426165,"about_ca_system_score_gemma":0.006549114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2094268,"about_ca_topic_score_gemma":0.3676714,"domain_scores_codex":[0.9985562,0.0001644872,0.000166451,0.0002808407,0.0004594346,0.0003726163],"domain_scores_gemma":[0.9944487,0.001299136,0.0006186197,0.0009049511,0.002025811,0.0007027591],"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":[0.00003379531,0.000005108497,0.0003920502,0.0001760768,0.000005522201,0.000006492982,0.00001204947,0.00003966135,0.00001262396,0.0001444432,0.998429,0.000743208],"study_design_scores_gemma":[0.0002075056,0.00001360642,0.006333805,0.0004341972,0.00002092679,0.00003640523,0.0001990005,0.0002627784,0.0001518164,0.0008107417,0.9915013,0.00002792233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001054649,0.00005171822,0.00001974948,0.000155404,0.00007600731,0.000009876998,0.9984268,0.0001236281,0.001031369],"genre_scores_gemma":[0.0006336223,0.00007555713,0.0001203881,0.0001075651,0.00003283713,0.00005715788,0.9946359,0.00007593696,0.004261027],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7905732,"threshold_uncertainty_score":0.5648744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02802860833006125,"score_gpt":0.2671408857850169,"score_spread":0.2391122774549556,"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."}}