{"id":"W2760817428","doi":"10.1111/j.1740-9713.2017.01071.x","title":"Who is buried in Playfair's Grave?","year":2017,"lang":"en","type":"article","venue":"Significance","topic":"Census and Population Estimation","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Graphics; Art; Art history; Computer graphics (images); Computer science; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01391022,0.0008777697,0.001643747,0.001998589,0.01024942,0.009845909,0.002271857,0.005716432,0.04195134],"category_scores_gemma":[0.07041144,0.0006247394,0.0006101421,0.001468829,0.01249423,0.01295032,0.003910848,0.01473464,0.01438604],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004796935,"about_ca_system_score_gemma":0.0065154,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04214958,"about_ca_topic_score_gemma":0.05994159,"domain_scores_codex":[0.9930592,0.00312805,0.0002363325,0.0009130206,0.002068253,0.0005952146],"domain_scores_gemma":[0.9775046,0.00905442,0.001002926,0.001314045,0.007651869,0.003472116],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003884391,0.00001120698,0.0005087348,0.00004819745,0.000009038818,0.0001223525,0.001626249,0.00002872593,0.00004898998,0.01782573,0.944576,0.03515595],"study_design_scores_gemma":[0.000009356811,0.00002674968,0.0006156329,0.0006653285,0.00001210453,0.0004926012,0.008222193,0.000116403,0.0001682968,0.02701078,0.9626163,0.00004428348],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0008146206,0.0150824,0.002599951,0.9435173,0.02748071,0.00001163466,0.00009984058,0.0001918946,0.01020158],"genre_scores_gemma":[0.07758187,0.02508219,0.006905231,0.664811,0.03781065,0.0001183828,0.0002589502,0.001651586,0.1857801],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04214958,"threshold_uncertainty_score":0.1403412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08733791112707151,"score_gpt":0.3693011202944611,"score_spread":0.2819632091673896,"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."}}