{"id":"W2626176714","doi":"10.1007/s10708-017-9784-9","title":"The spatial knowledge politics of crisis mapping for community development","year":2017,"lang":"en","type":"article","venue":"GeoJournal","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Human geography; Politics; Economic geography; Political science; Regional science; Geography; Law","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003266917,0.00005271337,0.0001099598,0.00004622031,0.01701544,0.0001772312,0.0005357575,0.00003754085,0.000006976136],"category_scores_gemma":[0.000587222,0.00003830263,0.00006675146,0.000036045,0.0002987236,0.0001375178,0.0001264764,0.0001383717,0.000008004346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005132199,"about_ca_system_score_gemma":0.000201718,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004380958,"about_ca_topic_score_gemma":0.01062067,"domain_scores_codex":[0.9990631,0.0001225266,0.0003175198,0.0000307716,0.0002126412,0.0002533979],"domain_scores_gemma":[0.9985512,0.00025619,0.0004092551,0.0002094686,0.0005212581,0.00005259797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001691481,0.00008410143,0.08614797,0.0001268481,0.0003094535,4.738974e-7,0.7532225,0.000004345818,0.00001202681,0.08790783,0.01494173,0.05722581],"study_design_scores_gemma":[0.0003001975,0.00001569623,0.1874479,0.0000508227,0.000008824535,0.000001825544,0.1475572,0.00001612444,0.00005580671,0.004658196,0.6598021,0.00008533259],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7440183,0.0006030715,0.01570916,0.01108366,0.003645288,0.0009204246,0.00002964308,0.00005228784,0.2239382],"genre_scores_gemma":[0.9982656,0.00003715937,0.0005260755,0.00002551585,0.0002327269,0.00001417978,6.762966e-7,0.000002602749,0.0008954848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6448603,"threshold_uncertainty_score":0.9842643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0958191760777214,"score_gpt":0.3620491717397761,"score_spread":0.2662299956620547,"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."}}