{"id":"W1914910558","doi":"10.1002/ar.23152","title":"<scp>MUMAB</scp>: A Conversation With the Past","year":2015,"lang":"en","type":"article","venue":"The Anatomical Record","topic":"Paleopathology and ancient diseases","field":"Arts and Humanities","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Conversation; Psychology; Sociology; Communication","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":[0.0002213474,0.00008956888,0.00009381399,0.00002170078,0.0002465409,0.00007919725,0.0002005067,0.00002440278,0.0001042468],"category_scores_gemma":[0.000087335,0.00003967367,0.00004489717,0.00003554038,0.0005593602,0.00009790988,0.00003237011,0.0001324094,0.0004087388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001519624,"about_ca_system_score_gemma":0.00004601812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005236671,"about_ca_topic_score_gemma":0.0003425246,"domain_scores_codex":[0.9993747,0.00009716163,0.00008706208,0.0001210856,0.0001389079,0.0001810891],"domain_scores_gemma":[0.999392,0.0002402159,0.00005745374,0.0001667319,0.0000684238,0.00007515649],"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":[0.0002764243,0.0002537423,0.0515228,0.00002092943,0.0001329316,0.00004017039,0.08154796,0.000009353108,0.00004363569,0.2778543,0.5783014,0.009996352],"study_design_scores_gemma":[0.0006535372,0.0001711624,0.006314447,0.00001485806,0.00008123519,0.000008513998,0.02434774,0.0003734087,0.00003619691,0.0100466,0.9578786,0.00007363834],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542034,0.0001653281,0.00004570374,0.003111959,0.0002520178,0.0001218177,0.00001133489,0.00005735383,0.04203109],"genre_scores_gemma":[0.9927248,0.000008844405,0.000005969664,0.001654921,0.0004645062,0.00001824776,0.000007214325,0.000007716984,0.005107728],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3795773,"threshold_uncertainty_score":0.5253646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03767889259516554,"score_gpt":0.2304798834151601,"score_spread":0.1928009908199945,"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."}}