{"id":"W4230977096","doi":"10.1007/978-1-4939-7131-2_101250","title":"Spatio-temporal-Thematic Analysis","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Ecology, Conservation, and Geographical Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Thematic map; Computer science; Geography; Cartography","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":[0.001124614,0.0007198464,0.000487318,0.002176857,0.0004188712,0.004222133,0.001362139,0.0006273471,0.01919964],"category_scores_gemma":[0.00223004,0.0003659666,0.001092587,0.004671404,0.0009582298,0.003431326,0.001683238,0.001075682,0.009045757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003602,"about_ca_system_score_gemma":0.001061118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003938287,"about_ca_topic_score_gemma":0.008700385,"domain_scores_codex":[0.9994986,0.0001096902,0.00003840181,0.0001318372,0.0001924143,0.00002909735],"domain_scores_gemma":[0.9992679,0.0003836857,0.00003391876,0.0001468174,0.0001415221,0.0000261093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001143011,0.00001352654,0.0008183489,0.0004134889,0.0000817386,0.0001050974,0.0006430655,0.005641341,0.001526088,0.3151685,0.1427298,0.5328475],"study_design_scores_gemma":[0.000002002394,0.000004032114,0.001681247,0.0002356527,0.00003033782,0.0003086032,0.0005658098,0.02181573,0.001113197,0.2810739,0.6931483,0.00002110614],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001833308,0.008004251,0.8750547,0.002497984,0.001141261,0.0000781329,0.003980923,0.002923408,0.1044861],"genre_scores_gemma":[0.04937937,0.01745459,0.7480693,0.001024969,0.0009881649,0.0002639852,0.01521367,0.003934904,0.1636711],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01919964,"threshold_uncertainty_score":0.06422919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01636673001279701,"score_gpt":0.2198750013993871,"score_spread":0.2035082713865901,"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."}}