{"id":"W2013709453","doi":"10.1503/cmaj.109-4144","title":"Spending eternity in liquid nitrogen","year":2012,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Paleopathology and ancient diseases","field":"Arts and Humanities","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eternity; Liquid nitrogen; Computer science; Data science; Philosophy; Epistemology; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001239,0.00006018051,0.00009918586,0.0001460146,0.0002885998,0.00005957163,0.0001107963,0.0001028625,0.01733943],"category_scores_gemma":[0.0006692166,0.00005482168,0.00005459342,0.00003205325,0.00004544395,0.0002530796,0.000007346636,0.0004483697,0.0004700834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003170172,"about_ca_system_score_gemma":0.0003801684,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008566804,"about_ca_topic_score_gemma":0.05977817,"domain_scores_codex":[0.9987743,0.0001372178,0.0001931429,0.00005380067,0.0003780307,0.0004634741],"domain_scores_gemma":[0.9988132,0.00006666165,0.00007907111,0.00003450311,0.00005387472,0.0009526617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005771229,0.00003201171,0.9670706,0.000002570256,0.00001637684,0.0001619882,0.006014171,1.556886e-7,0.000002289168,0.01103986,0.01439054,0.001263611],"study_design_scores_gemma":[0.0004684134,0.00003563363,0.103489,0.00005186593,0.00001575769,0.0001090273,0.003331706,0.000010991,0.00001073253,0.001132244,0.8911748,0.0001698151],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629309,0.0003708101,0.000003226458,0.002173895,0.001415706,0.00002872359,0.00002286954,0.000009645891,0.03304423],"genre_scores_gemma":[0.9928082,0.00002209557,0.000004359965,0.003500834,0.003245748,0.000002096806,0.000004848529,0.000004713723,0.0004070837],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8767843,"threshold_uncertainty_score":0.9835588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02206860846165805,"score_gpt":0.2393022648118668,"score_spread":0.2172336563502087,"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."}}