{"id":"W4391730242","doi":"10.1007/978-3-031-17299-1_1301","title":"Home-Based Work","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Retirement, Disability, and Employment","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Work (physics); Sociology; Engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001962498,0.0004799393,0.0003095448,0.0006895278,0.001963787,0.002741772,0.0007775649,0.001004946,0.1360482],"category_scores_gemma":[0.0002689222,0.0002077099,0.0002588352,0.0009748302,0.0006725644,0.001280445,0.001426163,0.001360008,0.06716549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009712883,"about_ca_system_score_gemma":0.001435387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005934213,"about_ca_topic_score_gemma":0.03070111,"domain_scores_codex":[0.9998463,0.00002509568,0.000003943257,0.00002447374,0.00006578898,0.00003428528],"domain_scores_gemma":[0.9999435,0.00001057047,0.000002911384,0.00001053598,0.00001507043,0.00001753897],"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":[0.00001607477,0.0001534444,0.0003335935,0.0001469963,0.000003825425,0.0000974474,0.001724458,0.0001237168,0.0003467826,0.1380734,0.6092204,0.2497598],"study_design_scores_gemma":[0.000001706061,0.00001007293,0.0006807909,0.0001065315,9.732335e-7,0.00006007239,0.0004280717,0.00003246871,0.00004004834,0.005883341,0.9927538,0.000002042515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0004392286,0.003249353,0.0003292511,0.0004349338,0.0004780985,0.00002158547,0.00007022016,0.00004365061,0.9949338],"genre_scores_gemma":[0.00230929,0.001635105,0.0002188282,0.0002464671,0.00008990281,0.00001455563,0.00006019975,0.00001305323,0.9954126],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1360482,"threshold_uncertainty_score":0.4551266,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2913889970305368,"score_gpt":0.403530621855916,"score_spread":0.1121416248253793,"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."}}