{"id":"W4394557777","doi":"10.6084/m9.figshare.91828","title":"Full Text of 207 Reports from 1st Quarter of 2012 on Looted Heritage","year":2012,"lang":"en","type":"dataset","venue":"Figshare","topic":"Computational and Text Analysis Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Computer science; History; Mathematics; Archaeology","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":[0.0008055123,0.001432034,0.0008825164,0.01025677,0.0009254343,0.002136524,0.001142186,0.000887906,0.05573173],"category_scores_gemma":[0.005785746,0.0004478577,0.0007039755,0.0142582,0.0003126445,0.001084678,0.001498382,0.0009449283,0.06227966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001104824,"about_ca_system_score_gemma":0.003032855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03980112,"about_ca_topic_score_gemma":0.08119395,"domain_scores_codex":[0.9988875,0.000125276,0.0001583406,0.0002579253,0.0004244481,0.0001466046],"domain_scores_gemma":[0.9964716,0.000941541,0.0005144713,0.0005025608,0.001247546,0.0003222993],"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":[0.00004768186,0.00001427079,0.001599006,0.0004622386,0.00001684725,0.00004489629,0.00006753435,0.0001555959,0.0001532564,0.000227369,0.9924741,0.004737098],"study_design_scores_gemma":[0.00006884828,0.00001438438,0.01772104,0.0003009993,0.00003941442,0.0001087226,0.0004003505,0.0003581279,0.0007559267,0.0004630235,0.9797381,0.00003110465],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007029637,0.0001195685,0.00008372137,0.00006131592,0.00003254747,0.0000156293,0.9969049,0.0003155089,0.001763946],"genre_scores_gemma":[0.001316225,0.00009406954,0.0002659777,0.0000231299,0.00002333346,0.00006012521,0.9956784,0.00006785831,0.00247086],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05573173,"threshold_uncertainty_score":0.1864412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06651378830431257,"score_gpt":0.3575432230464867,"score_spread":0.2910294347421741,"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."}}