{"id":"W6907993663","doi":"10.25549/impa-m14356","title":"Docks at Jiujiang, Jiangxi, China, ca. 1885","year":2012,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Sinkhole; Yangtze river; Quarter (Canadian coin)","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":[0.0003083116,0.001518387,0.0008449206,0.004710838,0.001060943,0.001847203,0.001142186,0.0007515204,0.06413455],"category_scores_gemma":[0.001765626,0.0004757867,0.0004799574,0.01256804,0.000337996,0.001060525,0.001172833,0.0009153251,0.07784286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017399,"about_ca_system_score_gemma":0.003070348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1555768,"about_ca_topic_score_gemma":0.3260092,"domain_scores_codex":[0.9996604,0.00002586499,0.0000401404,0.0001027058,0.00009427648,0.00007663966],"domain_scores_gemma":[0.9992296,0.00007635754,0.0001119195,0.0001251005,0.0003343421,0.0001226177],"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":[0.00003811046,0.000008702636,0.002501289,0.0003089998,0.000009889576,0.00002458751,0.00003667387,0.00008945644,0.00004055883,0.0002508323,0.9932021,0.003488775],"study_design_scores_gemma":[0.00004464016,0.000006688886,0.02376115,0.0001694016,0.00001276742,0.00003152949,0.0001735209,0.000109656,0.0001174969,0.0002164119,0.9753435,0.00001327898],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000295691,0.0001119337,0.00001841921,0.00004304077,0.00002147064,0.000004100794,0.9980224,0.0001112347,0.001371631],"genre_scores_gemma":[0.0008308903,0.000124177,0.0000576409,0.00001839445,0.000007856079,0.0000190385,0.9962136,0.00002218657,0.002706214],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1555768,"threshold_uncertainty_score":0.3093424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005959017883553731,"score_gpt":0.1609222666917929,"score_spread":0.1549632488082391,"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."}}