{"id":"W4391281854","doi":"10.1177/0308518x231209766","title":"Uneven decommodification geographies: Exploring variation across the centre and periphery","year":2024,"lang":"en","type":"article","venue":"Environment and Planning A Economy and Space","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Concordia University","keywords":"Variation (astronomy); Economic geography; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009144686,0.0001396971,0.0002451962,0.003705443,0.001045368,0.003019913,0.0003657303,0.0002819096,0.003933729],"category_scores_gemma":[0.004086115,0.0001099176,0.0001580916,0.00636257,0.004381099,0.002766719,0.00317224,0.0004793621,0.000177765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001848539,"about_ca_system_score_gemma":0.0005458983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009761035,"about_ca_topic_score_gemma":0.01567739,"domain_scores_codex":[0.9994122,0.000185863,0.00003325014,0.0001416155,0.00009156708,0.0001354744],"domain_scores_gemma":[0.9979061,0.000966154,0.0004830141,0.0003132242,0.0002262737,0.0001052823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003465014,0.00005159929,0.4254436,0.000248646,0.00007614093,0.0009238031,0.181695,0.003821373,0.004527033,0.2564187,0.002650435,0.1237973],"study_design_scores_gemma":[0.00001172887,0.00006068785,0.8060809,0.0001456485,0.00002431403,0.0004638449,0.1140346,0.003078642,0.001002666,0.0442336,0.03083062,0.00003258591],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629118,0.0005182839,0.00462392,0.0004583456,0.000007401733,0.00003049283,0.0004592204,0.00002719599,0.03096324],"genre_scores_gemma":[0.9985971,0.0001087747,0.0006547382,0.00001115184,0.000002918535,0.00001093514,0.0001183784,0.000008819745,0.0004872575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009761035,"threshold_uncertainty_score":0.01940846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02082662927431198,"score_gpt":0.1925443472220306,"score_spread":0.1717177179477186,"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."}}