{"id":"W3005811480","doi":"10.1177/194277861600900301","title":"Human Geography Special Issue: Marxist Geography","year":2016,"lang":"en","type":"article","venue":"Human Geography","topic":"Political Economy and Marxism","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Human geography; Marxist philosophy; Economic geography; Geography; Time geography; Development geography; Historical geography; Sociology; Social science; Political science; Politics","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":[0.003190837,0.002019876,0.003131649,0.007814636,0.003628425,0.0115633,0.001896121,0.009352708,0.09994414],"category_scores_gemma":[0.009847304,0.0005912622,0.001339541,0.009620845,0.003569013,0.007801347,0.004605297,0.004626316,0.01915531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004159014,"about_ca_system_score_gemma":0.005532331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002971203,"about_ca_topic_score_gemma":0.005656638,"domain_scores_codex":[0.9982192,0.0005188955,0.0001569844,0.0002979293,0.0005848371,0.0002221603],"domain_scores_gemma":[0.992324,0.003483886,0.0005371327,0.0007728045,0.001413168,0.001469046],"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":[0.00001134273,0.00002590451,0.0001943951,0.0002631831,0.000009290473,0.00004068952,0.00007542703,0.00007988434,0.0000436564,0.01185821,0.9781767,0.009221459],"study_design_scores_gemma":[0.00001355694,0.000024383,0.001510554,0.0004877693,0.00001716048,0.0001217591,0.0003099138,0.0001360365,0.00005367119,0.01707426,0.9802382,0.00001276928],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.001413827,0.09562249,0.001466607,0.2255248,0.5961684,0.0000966685,0.001187321,0.0002118009,0.07830803],"genre_scores_gemma":[0.01467585,0.06361152,0.0006357462,0.02379314,0.7392014,0.0001386146,0.001160381,0.0004499071,0.1563335],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.09994414,"threshold_uncertainty_score":0.3343465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692957924640414,"score_gpt":0.2861796602015731,"score_spread":0.269250080955169,"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."}}