{"id":"W4383807923","doi":"10.56687/9781447354727-008","title":"Welfarisation","year":2015,"lang":"en","type":"book-chapter","venue":"Policy Press eBooks","topic":"Metal Alloys Wear and Properties","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","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":[],"category_scores_codex":[0.0002697117,0.0002716123,0.0003162808,0.00009847552,0.00007447456,0.0001120472,0.0003349228,0.0002497876,0.0005299001],"category_scores_gemma":[0.00004697272,0.0002177198,0.00009246326,0.000002497017,0.0001445229,0.00005685473,0.000204151,0.0001785513,0.001062351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000683694,"about_ca_system_score_gemma":0.000171564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001755593,"about_ca_topic_score_gemma":0.00002450908,"domain_scores_codex":[0.9987051,0.00003676208,0.0002880612,0.0003126359,0.0004101392,0.0002472974],"domain_scores_gemma":[0.9990935,0.00002154738,0.0001696842,0.00045788,0.0001145721,0.0001428354],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004013298,0.000003851313,1.807716e-7,0.00007746238,0.00002110395,0.00000493411,0.0004929032,0.000005324024,0.008336374,0.9673404,0.01683528,0.006842091],"study_design_scores_gemma":[0.0001170125,0.00004083342,0.000001109816,0.00004582945,0.00003376917,0.000007615606,0.000001274837,0.000007639278,0.01456772,0.05172791,0.9331918,0.0002574847],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00007774358,0.0009856315,0.0000185365,0.00007102118,0.0003993241,0.0002275546,0.0000808341,0.0001465659,0.9979928],"genre_scores_gemma":[0.005391401,0.00002588728,0.000144714,0.0002124686,0.001155039,0.00002124844,0.00001412059,0.00006314199,0.992972],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9163565,"threshold_uncertainty_score":0.9997154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1547386094598794,"score_gpt":0.3005816900239608,"score_spread":0.1458430805640814,"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."}}