{"id":"W2059428787","doi":"10.3390/fi3040204","title":"Tool or Toy? Virtual Globes in Landscape Planning","year":2011,"lang":"en","type":"article","venue":"Future Internet","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Geospatial analysis; Computer science; Adaptation (eye); Citizen journalism; Geographic information system; Grassroots; Process (computing); Data science; World Wide Web; Remote sensing; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004086001,0.00008763958,0.0001356624,0.000122888,0.0000905792,0.00004286729,0.000228598,0.00009677292,0.0009812426],"category_scores_gemma":[0.00008139436,0.00006567546,0.00003930511,0.0002520674,0.00006800342,0.0001862299,0.00005756647,0.0001097502,0.0001841879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002608014,"about_ca_system_score_gemma":0.00003375003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002153615,"about_ca_topic_score_gemma":0.007296212,"domain_scores_codex":[0.999136,0.00005468162,0.0002443925,0.0001085829,0.0002195908,0.0002367717],"domain_scores_gemma":[0.9996939,0.0000412387,0.00007863816,0.00009048494,0.00005880096,0.00003690373],"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":[0.000102939,0.0000301434,0.3407845,0.00001327284,0.00003869307,0.00003184176,0.5534528,0.000001655164,0.000001201091,0.06269778,0.04033206,0.00251301],"study_design_scores_gemma":[0.0004604093,0.0001275143,0.1634565,0.0001224576,0.000006539644,0.000006160531,0.2744706,0.00002411807,0.00002168714,0.0003788208,0.5606784,0.0002468755],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.720542,0.0001530488,0.00005094005,0.0002439586,0.001740633,0.0001750904,0.000004851529,0.00009542085,0.276994],"genre_scores_gemma":[0.9933009,0.000015595,0.0001511621,0.0002235677,0.0006300767,0.00002135189,0.000002527406,0.0000044977,0.005650311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5203463,"threshold_uncertainty_score":0.999932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0409935368881278,"score_gpt":0.2909335514375306,"score_spread":0.2499400145494028,"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."}}