{"id":"W2235060790","doi":"","title":"Asbestos kills: no matter how you cut the data (editorial)","year":2012,"lang":"en","type":"article","venue":"NOVA (University of Newcastle, Australia)","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Asbestos","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003238179,0.0001510366,0.0002004197,0.0000700282,0.0004413606,0.0001133145,0.0007868444,0.0000867873,0.0171986],"category_scores_gemma":[0.00002347588,0.0001345387,0.00008908295,0.00006612935,0.0004602839,0.001177213,0.0003180719,0.0002332938,0.002144743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003476612,"about_ca_system_score_gemma":0.00003189903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003876032,"about_ca_topic_score_gemma":0.00713342,"domain_scores_codex":[0.9989108,0.00006679547,0.0001072644,0.0002258169,0.0003493212,0.0003399464],"domain_scores_gemma":[0.998793,0.00004716486,0.0001498108,0.0006649523,0.0002342246,0.0001108453],"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":[0.00002181847,0.0001116754,0.00554313,0.0000258623,0.00008761378,0.000004420715,0.004637462,5.071454e-7,0.0002028264,0.004753481,0.9844508,0.000160462],"study_design_scores_gemma":[0.0003045311,0.00004308854,0.01282732,0.00001730016,0.00009127861,0.000002765354,0.004032627,0.00001207661,0.00002444796,0.00007512613,0.982394,0.0001754737],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8948364,0.00003921714,0.00003431035,0.007140726,0.03761844,0.0004257934,0.0009108226,0.0000628473,0.05893148],"genre_scores_gemma":[0.8566595,0.0000118603,0.00006332027,0.00008462893,0.01089874,1.728657e-7,0.00008153584,0.00001291038,0.1321873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07325579,"threshold_uncertainty_score":0.9986322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2536726440744267,"score_gpt":0.2961543004228502,"score_spread":0.04248165634842349,"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."}}