{"id":"W4403000242","doi":"10.1007/978-3-031-25900-5_174-1","title":"Geographies of Labor","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Digital Economy and Work Transformation","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Economic geography; Geography","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":[0.0002873232,0.0004371308,0.0002434507,0.002217152,0.002152087,0.003746837,0.0004910638,0.0007855978,0.02108294],"category_scores_gemma":[0.001041766,0.0002034072,0.0001496862,0.004484611,0.005956219,0.002716686,0.001286421,0.001223392,0.003003927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004273565,"about_ca_system_score_gemma":0.002038444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02967332,"about_ca_topic_score_gemma":0.04636383,"domain_scores_codex":[0.9997116,0.0001454887,0.000008111192,0.00003503966,0.00006189674,0.00003792856],"domain_scores_gemma":[0.9997898,0.00009762738,0.00002097106,0.00004194898,0.00003217052,0.00001752143],"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":[0.000001685908,0.00000164379,0.00007464396,0.00001381445,5.902774e-7,0.000009542387,0.001343481,0.0001061516,0.00001898502,0.9764495,0.0132894,0.008690652],"study_design_scores_gemma":[0.00000112318,0.000003166807,0.0006024131,0.0001010854,0.000001550761,0.00003427737,0.002640619,0.000137314,0.00003586272,0.2708012,0.7256383,0.000003107197],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002467504,0.01074076,0.003466731,0.004672835,0.0004444916,0.00001571145,0.000206192,0.00003029232,0.9779554],"genre_scores_gemma":[0.2090043,0.02770936,0.002994127,0.001144517,0.0008946952,0.00009509482,0.0004222289,0.000127737,0.7576078],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.02967332,"threshold_uncertainty_score":0.07052946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01259612833403224,"score_gpt":0.2399635761816307,"score_spread":0.2273674478475984,"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."}}