{"id":"W4399637364","doi":"10.56687/9781447365723","title":"Combining Work and Care","year":2024,"lang":"en","type":"book","venue":"Policy Press eBooks","topic":"Healthcare innovation and challenges","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Economic and Social Research Council; International Labour Organization; University of Alberta; European Commission; AGE-WELL","keywords":"Work (physics); Computer science; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002085417,0.0001706196,0.0002208148,0.0001665446,0.0002788072,0.0001727571,0.0001908889,0.0004214998,0.00001271544],"category_scores_gemma":[0.00006324514,0.000175252,0.0000490513,0.00002915066,0.000276597,0.00002328484,0.0001131618,0.0004892023,0.00002158599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002415569,"about_ca_system_score_gemma":0.001409686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001733789,"about_ca_topic_score_gemma":0.001532277,"domain_scores_codex":[0.9987751,0.00009168535,0.0002168328,0.0002791458,0.0003177273,0.0003194772],"domain_scores_gemma":[0.9993516,0.000103763,0.00008071957,0.0001762473,0.0001264274,0.0001613055],"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":[0.000001832569,9.656766e-7,0.000002183128,0.0002310535,0.00001708201,0.000005704691,0.05340457,1.337203e-8,6.083116e-8,0.8717804,0.0280463,0.04650983],"study_design_scores_gemma":[0.0000548697,0.00001102977,0.000003818701,0.0003353882,0.00001347134,3.829034e-7,0.001242269,1.289094e-7,0.000002210578,0.01826547,0.9799049,0.0001660329],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00003104697,0.006466568,8.712186e-7,0.005454133,0.000425374,0.0002580787,0.00002967438,0.0002202816,0.987114],"genre_scores_gemma":[0.01870835,0.0004997186,0.00001896089,0.0007665214,0.002044433,0.00003721495,0.00001270998,0.00004323725,0.9778689],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9518586,"threshold_uncertainty_score":0.7146568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.133150388967077,"score_gpt":0.4056263484020629,"score_spread":0.2724759594349859,"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."}}