{"id":"W2466689702","doi":"","title":"THE ELECTIONMAPPER—A CO-OPERATIVE PROJECT FOR SHOWING GEOSPATIAL DATA","year":2019,"lang":"en","type":"article","venue":"GEOMATICA","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Geography; Cartography; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00179529,0.0000838421,0.0001355879,0.00004780047,0.002221865,0.0002351622,0.0004817175,0.00005023686,0.00006003109],"category_scores_gemma":[0.0005213981,0.00005667482,0.00004532846,0.0002195567,0.0001383691,0.000458489,0.00009254972,0.00006616906,0.0002588911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003760033,"about_ca_system_score_gemma":0.0001761465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001181329,"about_ca_topic_score_gemma":0.002932025,"domain_scores_codex":[0.9987772,0.0001001487,0.0002683802,0.0001579769,0.000357277,0.0003390266],"domain_scores_gemma":[0.9987346,0.0005512096,0.0001085907,0.0004013058,0.0001763709,0.00002791675],"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":[0.0001037315,0.0000890257,0.03468168,0.0003071094,0.0007402793,6.83446e-7,0.3697796,0.0000465728,0.0001005885,0.338343,0.2309133,0.02489445],"study_design_scores_gemma":[0.0003343339,0.00005694641,0.001601353,0.00002994286,0.0000172721,0.000001006021,0.08242421,0.002528851,0.00001801059,0.001009804,0.9118207,0.000157627],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2129392,0.0005519283,0.01248565,0.01477783,0.00510113,0.01591515,0.0003846001,0.000679817,0.7371647],"genre_scores_gemma":[0.9901935,0.00006508911,0.0009708336,0.0002210027,0.0004245843,0.0003201503,0.00007622707,0.00001164504,0.007716942],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7772543,"threshold_uncertainty_score":0.9990771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07143896005856452,"score_gpt":0.3922199588176374,"score_spread":0.3207809987590729,"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."}}