{"id":"W6931814076","doi":"10.5287/bodleiand6u6.2","title":"Canadian Cemetery No.2","year":2011,"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":"Natural (archaeology); Government (linguistics); Work (physics); Perspective (graphical)","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":[0.0005180647,0.002877045,0.002067102,0.007712973,0.002659019,0.003464021,0.003884707,0.001670436,0.08901297],"category_scores_gemma":[0.004734389,0.0008096698,0.001142996,0.01744517,0.0008117197,0.001305439,0.001662705,0.001796786,0.06019115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009568849,"about_ca_system_score_gemma":0.017686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8849047,"about_ca_topic_score_gemma":0.9552307,"domain_scores_codex":[0.9991196,0.00006511036,0.00005451356,0.000230014,0.0003081569,0.0002226661],"domain_scores_gemma":[0.9975705,0.0002264913,0.0001484368,0.0003715533,0.00142218,0.0002608789],"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":[0.00003294819,0.000006043527,0.0004916341,0.0002085798,0.00001397726,0.00001925434,0.0000252445,0.0001709423,0.0000234674,0.0004310621,0.9969041,0.001672843],"study_design_scores_gemma":[0.00005633767,0.000004687453,0.006129135,0.000245823,0.00001984608,0.00004368985,0.0002229225,0.0002704458,0.0001294689,0.0004876726,0.9923573,0.00003285182],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002142829,0.0001317878,0.00003729853,0.00005885042,0.00002930165,0.000008986185,0.9973518,0.000157009,0.002010602],"genre_scores_gemma":[0.0007945281,0.0001261216,0.0001571542,0.00002133162,0.000008105995,0.00003143668,0.9958957,0.0000575789,0.002907914],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1150953,"threshold_uncertainty_score":0.2977781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05364263767275789,"score_gpt":0.2562107168412238,"score_spread":0.2025680791684659,"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."}}