{"id":"W2017049789","doi":"10.1068/a45692","title":"Life for Sale? The Politics of Lively Commodities","year":2013,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Geographies of human-animal interactions","field":"Social Sciences","cited_by":222,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria; University of Toronto","funders":"","keywords":"Commodification; Commodity; Ecosystem services; Politics; Value (mathematics); Reproduction; Set (abstract data type); Generative grammar; State (computer science); Environmental ethics; Sociology; Business; Economics; Ecosystem; Political science; Economy; Ecology; Biology; Market economy; Computer science; Artificial intelligence; Law","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001819331,0.0001478199,0.0001822465,0.0006166723,0.004244486,0.007243571,0.0003943643,0.00190209,0.01088708],"category_scores_gemma":[0.003054616,0.0002001856,0.0001376443,0.0006103156,0.02407812,0.007435404,0.003456169,0.002153733,0.000592035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003027967,"about_ca_system_score_gemma":0.0009629486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002470176,"about_ca_topic_score_gemma":0.003925666,"domain_scores_codex":[0.9986268,0.0007068433,0.00001828462,0.0001744292,0.0002642293,0.0002092817],"domain_scores_gemma":[0.998755,0.0006530786,0.0001354773,0.0001514536,0.000103875,0.0002011596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000008172903,0.000006665448,0.0005055334,0.000007029818,0.000002342138,0.00005670409,0.003406341,0.00005123398,0.0001697701,0.99112,0.001290091,0.00337618],"study_design_scores_gemma":[0.0000125909,0.00003063496,0.002963709,0.0001135574,0.000008483365,0.000257405,0.02117739,0.0003384095,0.0004633536,0.7184489,0.2561678,0.00001770191],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1271496,0.003072535,0.004058916,0.02999585,0.0001559913,0.00001278825,0.00003973082,0.00001873813,0.8354958],"genre_scores_gemma":[0.9855724,0.0006325502,0.000330196,0.001428494,0.00009457956,0.000008543057,0.00000921764,0.00002197541,0.01190201],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9957555,"threshold_uncertainty_score":0.03642094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753734274024158,"score_gpt":0.2554102634797659,"score_spread":0.2278729207395243,"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."}}