{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001895726,0.00008040179,0.000137988,0.00003518334,0.0001582311,0.00005758494,0.0001793113,0.00005122146,0.0001639709],"category_scores_gemma":[0.0002468494,0.00007798983,0.00003056444,0.0000382429,0.0000432369,0.0001303005,0.00002313039,0.00007959573,0.00005327869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003135266,"about_ca_system_score_gemma":0.00002056237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001828839,"about_ca_topic_score_gemma":0.0001638054,"domain_scores_codex":[0.9993602,0.00001733951,0.0001918671,0.0001551812,0.0001353772,0.0001400097],"domain_scores_gemma":[0.9992135,0.00006596486,0.0001761085,0.000473901,0.00003638742,0.00003409391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009973306,0.0002131319,0.2937225,0.0002823123,0.00003104738,0.0000334256,0.00521876,0.0001038,0.00225995,0.6061448,0.06871356,0.02317691],"study_design_scores_gemma":[0.0008124902,0.00002496127,0.5806609,0.0001345253,0.00001247967,0.000002032604,0.00005032791,0.006111453,0.003722476,0.3943622,0.01381199,0.0002942535],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9550008,0.00003816903,0.003665223,0.004029568,0.0003231549,0.0004559307,0.00003044317,0.00007816406,0.03637853],"genre_scores_gemma":[0.9952312,0.000006222582,0.002574801,0.00008365607,0.00009877972,0.00001514816,0.000003335635,0.00001177326,0.001975069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2869383,"threshold_uncertainty_score":0.3180333,"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."}}