{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002698789,0.0001662662,0.0001857691,0.001119246,0.001421203,0.000979113,0.0005573102,0.000120488,0.00009214637],"category_scores_gemma":[0.0005592486,0.0001298127,0.0002066476,0.0009347592,0.0001679067,0.001745488,0.00008663433,0.0001723536,0.0000689426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005546117,"about_ca_system_score_gemma":0.0001048988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003905646,"about_ca_topic_score_gemma":0.0002870311,"domain_scores_codex":[0.9976564,0.00009664576,0.0007261066,0.0001269815,0.001027304,0.0003665854],"domain_scores_gemma":[0.9961415,0.0002574662,0.000468909,0.0001549908,0.002783226,0.0001939019],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002726977,0.00003901799,0.1277133,0.00004854795,0.0005005819,7.005784e-7,0.04468768,0.000549245,0.00002649211,0.7912585,0.01896741,0.01593583],"study_design_scores_gemma":[0.0009108195,0.00008927091,0.01121776,0.00005170124,0.00002832015,0.00002237195,0.01880827,0.0005585804,0.000007334083,0.00356368,0.9645389,0.0002029736],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8095282,0.0007540638,0.04522896,0.06990983,0.02499161,0.007621621,0.0002718667,0.0007681295,0.04092568],"genre_scores_gemma":[0.9916031,0.0008269013,0.0002172856,0.006189573,0.000415637,0.0001172463,0.00009924449,0.0000105963,0.0005204697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9455715,"threshold_uncertainty_score":0.9998788,"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."}}