{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003836574,0.001740557,0.002018944,0.00228309,0.003171282,0.007333726,0.002721741,0.01042975,0.02900925],"category_scores_gemma":[0.02097962,0.0009219333,0.001412475,0.001344207,0.002382443,0.005886173,0.001613028,0.01450564,0.01652502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002773282,"about_ca_system_score_gemma":0.002968661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004127824,"about_ca_topic_score_gemma":0.009076498,"domain_scores_codex":[0.9975718,0.0003858768,0.00037669,0.0003329125,0.001127526,0.0002052102],"domain_scores_gemma":[0.9850566,0.005424888,0.0008761302,0.000423986,0.006281295,0.001937068],"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":[0.00001178756,0.00000552255,0.00001869905,0.00009897921,0.000005045208,0.00003691609,0.00001438401,0.000005957467,0.00002401487,0.0001343233,0.9962814,0.00336299],"study_design_scores_gemma":[0.00001816272,0.00001452142,0.0003037264,0.0005001999,0.00001793079,0.000124488,0.00008871404,0.00003264245,0.00005985577,0.0003582679,0.9984659,0.00001563659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005331566,0.005131906,0.00004999275,0.04923864,0.9436896,0.00001577278,0.00007061567,0.00004538333,0.001704768],"genre_scores_gemma":[0.0005677548,0.006968099,0.0000853567,0.04577925,0.9284135,0.00004219495,0.0000774331,0.00004779235,0.01801855],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02900925,"threshold_uncertainty_score":0.0970456,"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."}}