{"id":"W4232888892","doi":"10.3138/cart.54.3.230","title":"Advice to Contributors","year":2019,"lang":"en","type":"article","venue":"Cartographica The International Journal for Geographic Information and Geovisualization","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Advice (programming); Geovisualization; Geography; Library science; Data science; Computer science; Data mining; Visualization; Information visualization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01261525,0.001464505,0.001269507,0.003968938,0.003186841,0.006503989,0.003433955,0.005219435,0.4230079],"category_scores_gemma":[0.1423225,0.0006838219,0.001019441,0.003767224,0.001081302,0.005299883,0.004705263,0.005966318,0.3451114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002794883,"about_ca_system_score_gemma":0.009338943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006145543,"about_ca_topic_score_gemma":0.009729353,"domain_scores_codex":[0.9867617,0.004181629,0.0008140557,0.001357053,0.005967622,0.0009179415],"domain_scores_gemma":[0.8315688,0.01729873,0.003867581,0.0078021,0.1247803,0.01468243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007752452,0.000004518361,0.00003363445,0.00004541571,7.234806e-7,0.00001021006,0.00004487359,0.000004897932,0.00001752602,0.0001013911,0.9925724,0.007156795],"study_design_scores_gemma":[0.00001208698,0.000005725691,0.0001326155,0.0002124391,0.000004322514,0.000037355,0.000201255,0.00002769385,0.00006111511,0.0003839545,0.9989133,0.00000816578],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.001428663,0.006677726,0.008753026,0.3608613,0.3339897,0.00245429,0.02373412,0.009283049,0.2528181],"genre_scores_gemma":[0.00560272,0.005429138,0.01228995,0.1146006,0.03673003,0.002810632,0.01119411,0.00441143,0.8069314],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4230079,"threshold_uncertainty_score":0.8230091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008882915736307142,"score_gpt":0.3102326114757493,"score_spread":0.3013496957394422,"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."}}