{"id":"W2384180927","doi":"10.1088/1755-1315/34/1/012013","title":"Naive (commonsense) geography and geobrowser usability after ten years of Google Earth","year":2016,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Usability; Globe; Data science; Computer science; World Wide Web; Geography; Human–computer interaction; Cartography; Psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.000676845,0.0001157121,0.0001734014,0.000102546,0.0004946743,0.00007954383,0.0001722943,0.0000535958,0.0002169811],"category_scores_gemma":[0.00007650339,0.00008888107,0.00003762262,0.0002272021,0.008264899,0.001024488,0.000204902,0.00005296798,0.00001720858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001271394,"about_ca_system_score_gemma":0.00005351836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111271,"about_ca_topic_score_gemma":0.001634381,"domain_scores_codex":[0.9985583,0.00006176811,0.0002322283,0.000286021,0.0004873146,0.0003743221],"domain_scores_gemma":[0.9994,0.00007396873,0.0001076076,0.0001900755,0.00003472268,0.0001936026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008247028,0.00003885858,0.9203421,0.00002114552,0.0000174144,0.000003012914,0.01769127,4.092268e-7,0.01255423,0.004306241,0.000008864384,0.04493398],"study_design_scores_gemma":[0.0001666595,0.00008541255,0.9810942,0.00002805116,0.000005230063,0.000003993961,0.008958514,0.00000168913,0.002043808,0.0004095032,0.007063796,0.0001391861],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994957,0.0001314096,0.0000122144,0.000441678,0.00008442601,0.0002048736,0.00004487567,0.00001953492,0.004103968],"genre_scores_gemma":[0.9985341,0.0007106581,0.0001932468,0.00004676338,0.00001576569,0.00001410601,6.87741e-7,0.000002842057,0.0004818125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06075205,"threshold_uncertainty_score":0.9944341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01097742883654791,"score_gpt":0.2137596427175061,"score_spread":0.2027822138809582,"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."}}