{"id":"W2789690268","doi":"10.1080/00049182.2018.1440687","title":"Sentinels of geography: legacy, public policy and contemporary relevance","year":2018,"lang":"en","type":"article","venue":"Australian Geographer","topic":"Historical Geography and Geographical Thought","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Relevance (law); Geopolitics; Human geography; Public policy; Sociology; Critical geography; Natural (archaeology); Environmental ethics; Historical geography; Political science; Social science; Geography; Law; Politics; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009291719,0.0002728393,0.0004070603,0.0008049797,0.0007625613,0.0001542815,0.0004770064,0.0003104286,0.0005184818],"category_scores_gemma":[0.0004226632,0.0002660767,0.0003895582,0.005368719,0.004932215,0.0007098714,0.00008723505,0.0002751027,0.00003280034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001654791,"about_ca_system_score_gemma":0.0001963025,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0137274,"about_ca_topic_score_gemma":0.0008003162,"domain_scores_codex":[0.9971063,0.0003404853,0.0005189973,0.0005454535,0.0006324995,0.0008563083],"domain_scores_gemma":[0.9980715,0.0002175409,0.000249632,0.0004447774,0.0004209834,0.0005955652],"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":[0.00006153898,0.0002609722,0.835776,0.00005012314,0.0002104528,0.00001319428,0.001653436,1.685516e-7,0.0001968121,0.1310503,0.009168233,0.02155875],"study_design_scores_gemma":[0.0004105574,0.0001659338,0.1487549,0.00003988742,0.00002619081,0.000001843463,0.0007368586,5.710756e-7,0.0001128662,0.009921951,0.8394992,0.0003292816],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.668319,0.004124563,0.0001596122,0.01763314,0.001138572,0.0009308541,0.00008128455,0.0005279689,0.3070849],"genre_scores_gemma":[0.9937721,0.0007056643,0.0009203106,0.0004514203,0.0008089588,0.00001555407,0.000008242472,0.00002251003,0.003295227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.830331,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04268550214354409,"score_gpt":0.320254684254992,"score_spread":0.2775691821114479,"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."}}