{"id":"W4237156203","doi":"10.46692/9781847426734.008","title":"Welfarisation","year":2015,"lang":"en","type":"other","venue":"","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":["insufficient_payload"],"category_scores_codex":[0.0001200018,0.00006700687,0.00009395996,0.00003360046,0.000008434533,0.0000235647,0.00008718366,0.00007866815,0.1137813],"category_scores_gemma":[0.00001273394,0.00004232016,0.00001263868,0.00002095777,0.00002071243,0.0000168342,0.00002631197,0.00002495976,0.01780938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006088796,"about_ca_system_score_gemma":0.00002546821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005559053,"about_ca_topic_score_gemma":0.0001229602,"domain_scores_codex":[0.9996176,0.00002343442,0.00005531101,0.0001021424,0.0001331804,0.00006828193],"domain_scores_gemma":[0.9997911,0.000002010207,0.00003156113,0.0001316999,0.00001246128,0.00003120561],"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":[0.000001270066,0.000003031907,9.653952e-7,0.00001036639,0.000001562716,3.431173e-7,0.00001513801,9.201774e-8,0.004312063,0.000350627,0.9950211,0.0002834342],"study_design_scores_gemma":[0.00003346902,0.00001039873,0.000001235886,0.000009841354,0.000004342236,6.745206e-7,0.000007884907,0.00000205577,0.002931488,0.0001311641,0.9967958,0.00007164836],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00002993598,0.0005572233,0.00004538047,0.0000471335,0.0006038502,0.00005767945,0.00001148741,0.0002291052,0.9984182],"genre_scores_gemma":[0.0003005789,0.00001159721,0.0008674082,0.00007948247,0.000240237,0.000003194907,0.00001427685,0.00009542771,0.9983878],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09597189,"threshold_uncertainty_score":0.9829554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03342377642755841,"score_gpt":0.2426970422225578,"score_spread":0.2092732657949994,"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."}}