{"id":"W2501706464","doi":"10.1075/clu.4.20sie","title":"The role of geospatial technologies for integrating landscape in language","year":2011,"lang":"en","type":"book-chapter","venue":"Culture and language use","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; McGill University","funders":"","keywords":"Geospatial analysis; Computer science; Geography; Earth science; Remote sensing; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003015653,0.0001273729,0.000211864,0.00008078809,0.0002634777,0.00005523173,0.0001693098,0.0002686955,0.00001605456],"category_scores_gemma":[0.0002770498,0.00007560674,0.00007074887,0.00004231611,0.0002308139,0.0001035138,0.00005934356,0.0001721554,0.000002325459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001023765,"about_ca_system_score_gemma":0.00002070654,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002177814,"about_ca_topic_score_gemma":0.03194432,"domain_scores_codex":[0.9993569,0.00001334333,0.0002333461,0.0001070771,0.0001321544,0.0001572063],"domain_scores_gemma":[0.9993956,0.0001282037,0.0002170139,0.0001378821,0.0001062474,0.00001504422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001452933,0.000004218823,0.000961062,0.00004583404,0.00005504992,0.000002597368,0.4854347,5.124884e-8,0.000023518,0.4549887,0.0007051885,0.05776465],"study_design_scores_gemma":[0.0001609211,0.0000334171,0.00008138211,0.0001757747,0.00002544571,0.000001287323,0.5444072,0.000002484929,0.00005797416,0.005637717,0.4492615,0.0001548853],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.007436916,0.04169204,0.00002488103,0.0001215245,0.0002059307,0.001111326,0.0001363854,0.0001730953,0.9490979],"genre_scores_gemma":[0.6855558,0.00329486,0.000494236,0.00005566046,0.0002792265,0.0001256108,0.0000669074,0.00002955093,0.3100982],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6781188,"threshold_uncertainty_score":0.9857202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01253832331008093,"score_gpt":0.2509828136086643,"score_spread":0.2384444902985834,"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."}}