{"id":"W4300669680","doi":"10.46692/9781447316961.009","title":"Education, work and welfare in diverse settings","year":2016,"lang":"en","type":"other","venue":"","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Welfare; Sociology; Computer science; Political science; Engineering; Mechanical engineering; Law","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":[0.001149399,0.0003175448,0.0004993737,0.001238681,0.002647428,0.005229216,0.0005434909,0.001521616,0.01459252],"category_scores_gemma":[0.001560154,0.0001380163,0.0002781855,0.002632515,0.004353039,0.002661418,0.004608472,0.001952509,0.0007757661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003110399,"about_ca_system_score_gemma":0.002851257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007275169,"about_ca_topic_score_gemma":0.01003514,"domain_scores_codex":[0.9985541,0.0006505579,0.00007106426,0.0001191206,0.000276796,0.0003283823],"domain_scores_gemma":[0.9993506,0.0003810433,0.00005648306,0.00002509109,0.0000718757,0.000114949],"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":[0.00007355687,0.0001688059,0.006756937,0.003533888,0.00003174791,0.001458741,0.06993832,0.0008288947,0.0003617531,0.4569651,0.09848168,0.3614006],"study_design_scores_gemma":[0.000007428883,0.00006475254,0.009954421,0.00635165,0.000007292655,0.0007785385,0.04099084,0.00004896778,0.00005992081,0.02730606,0.9144123,0.00001774164],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.0443497,0.5118526,0.001141567,0.02903128,0.004219373,0.00009596172,0.0003300823,0.00004333393,0.4089361],"genre_scores_gemma":[0.4608509,0.4503649,0.001358427,0.01277998,0.003552611,0.0003290144,0.0003084137,0.00003903826,0.07041673],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01459252,"threshold_uncertainty_score":0.04881686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01574225084204761,"score_gpt":0.3488763239727529,"score_spread":0.3331340731307053,"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."}}