{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001180249,0.00004964589,0.00007619277,0.00002523226,0.0005071756,0.0000608914,0.00005444525,0.00002871165,0.0001626303],"category_scores_gemma":[0.00003584778,0.00004057125,0.00002418892,0.000009202598,0.0003701874,0.0001292797,0.00002270061,0.00004895268,0.000006796622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000591918,"about_ca_system_score_gemma":0.000008422001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008040596,"about_ca_topic_score_gemma":0.00009038408,"domain_scores_codex":[0.9996764,0.00002462966,0.00007668544,0.00007390752,0.0000298184,0.0001185808],"domain_scores_gemma":[0.9994825,0.0003374094,0.0000535262,0.00005059794,0.00000576843,0.00007023323],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003284169,0.00009679848,0.4020787,0.00007059171,0.0002235227,7.039155e-7,0.1647176,0.0002416862,0.00005123889,0.3149349,0.1168308,0.0007205902],"study_design_scores_gemma":[0.0002304064,0.0001358269,0.1038564,0.00002363733,0.00003471218,8.811898e-7,0.1938497,0.0002749495,0.00002546205,0.01154725,0.6898584,0.0001622817],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766993,0.001025799,0.00003051925,0.008389339,0.00004521045,0.0002169603,0.00001032817,0.000008210167,0.01357433],"genre_scores_gemma":[0.9967469,0.0001865346,0.0002519445,0.0002307074,0.00009395648,0.00002885195,0.000002193511,0.000002849092,0.002456039],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5730277,"threshold_uncertainty_score":0.3900836,"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."}}