{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003886217,0.0009050869,0.0005847622,0.002485397,0.007730079,0.009415875,0.002508827,0.003603497,0.3085108],"category_scores_gemma":[0.01373667,0.0003640307,0.001035146,0.002143548,0.003405322,0.007554706,0.01320798,0.00386891,0.1321127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003360256,"about_ca_system_score_gemma":0.0048586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003172479,"about_ca_topic_score_gemma":0.005258081,"domain_scores_codex":[0.9939911,0.001680963,0.0003546278,0.0007807718,0.00180473,0.001387691],"domain_scores_gemma":[0.9948215,0.0009687612,0.0003883722,0.000988711,0.001542898,0.001289689],"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":[0.0001538437,0.0001770206,0.002438531,0.0005559935,0.00001413497,0.0005812302,0.01506767,0.0002056747,0.0007211117,0.2098038,0.4774381,0.2928429],"study_design_scores_gemma":[0.000005137538,0.00001998675,0.0005660297,0.0001199114,0.000001783295,0.0001099079,0.001771252,0.00002446991,0.0001200336,0.004236515,0.9930145,0.00001049236],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006293538,0.001061352,0.005182629,0.004511474,0.002679154,0.0003950704,0.0009147255,0.0007433276,0.9782187],"genre_scores_gemma":[0.06216655,0.001344213,0.004400939,0.005755882,0.0007201718,0.0005298503,0.001992826,0.0009089592,0.9221805],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3085108,"threshold_uncertainty_score":0.9863254,"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."}}