{"id":"W1121155092","doi":"10.1007/978-94-017-9960-7_1","title":"Power, Knowledge, and Space: A Geographical Introduction","year":2015,"lang":"en","type":"book-chapter","venue":"Knowledge and space","topic":"Place Attachment and Urban Studies","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Space (punctuation); Power (physics); Geography; Computer science; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007871217,0.0003888201,0.0005500007,0.0002502089,0.0006532433,0.0001182872,0.00014675,0.0005171609,0.0002716297],"category_scores_gemma":[0.0001376581,0.000363419,0.0001091619,0.0001195026,0.0009760759,0.000162389,0.0002390763,0.0004560252,0.0002447706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000103392,"about_ca_system_score_gemma":0.000203042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007197039,"about_ca_topic_score_gemma":0.003593165,"domain_scores_codex":[0.9983789,0.00008444961,0.0002132876,0.0006179429,0.0002891301,0.0004163389],"domain_scores_gemma":[0.9988383,0.0001428689,0.0001234173,0.0002269605,0.0003354397,0.0003330177],"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":[0.00002765866,0.00003977558,0.00078152,0.00003960392,0.0001053953,0.000004721557,0.009041212,2.189023e-8,0.000004193354,0.3839094,0.6032753,0.002771191],"study_design_scores_gemma":[0.0003644935,0.0001133251,0.0002620191,0.00008421041,0.0001241888,0.000004395244,0.0009867561,0.000002809358,0.000001643588,0.01149235,0.9861391,0.0004247011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007106423,0.1332189,0.00000719378,0.005613649,0.001063255,0.0003066266,0.00001289315,0.0001126204,0.8589543],"genre_scores_gemma":[0.01530114,0.01691734,0.0000485055,0.00001993147,0.002866677,0.00001228997,0.00001476233,0.00003832142,0.964781],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3828638,"threshold_uncertainty_score":0.9998818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02525776351719941,"score_gpt":0.3080400647126407,"score_spread":0.2827823011954412,"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."}}