{"id":"W2092929733","doi":"10.3846/2029-0187.2008.14.11-28","title":"GEOGRAPHIC INFORMATION E‐TRAINING INITIATIVES FOR NATIONAL SPATIAL DATA INFRASTRUCTURES / GEOGRAFINĖS INFORMACIJOS E. MOKYMO INICIATYVOS NACIONALINĖMS ERDVINIŲ DUOMENŲ INFRASTRUKTŪROMS","year":2008,"lang":"en","type":"article","venue":"Technological and Economic Development of Economy","topic":"Geography Education and Pedagogy","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Island University","funders":"","keywords":"Geographic information system; Public participation GIS; Curriculum; Spatial analysis; Geography; GIS and public health; Computer science; Cartography; Political science; Remote sensing","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":[],"consensus_categories":[],"category_scores_codex":[0.0009329219,0.0001938947,0.0003205673,0.0004893654,0.0008102386,0.00006530345,0.0005666108,0.00025353,0.0008203177],"category_scores_gemma":[0.0002611391,0.0001916522,0.00006415104,0.0001131285,0.0009043665,0.001447832,0.0002380378,0.0001671415,0.00002627697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007463305,"about_ca_system_score_gemma":0.0009168477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001337697,"about_ca_topic_score_gemma":0.0003840612,"domain_scores_codex":[0.9983588,0.00002834215,0.0008230276,0.00028636,0.0001384078,0.0003650247],"domain_scores_gemma":[0.9988898,0.0002359506,0.0004465809,0.0001873158,0.000116856,0.0001234839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001327788,0.0001525513,0.4926842,0.0001076641,0.00041262,4.90303e-7,0.02617991,0.00008053581,0.000009397836,0.2710517,0.001654227,0.207534],"study_design_scores_gemma":[0.0008070403,0.00006451098,0.3555655,0.00001580896,0.000009088558,0.000005579827,0.006627838,0.0003067091,0.00006287113,0.01880339,0.617353,0.0003786734],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9544767,0.00005892682,0.002356456,0.0008246074,0.0002897629,0.0006593365,0.0002630205,0.0001656044,0.04090561],"genre_scores_gemma":[0.9863214,0.0001678683,0.01242013,0.000290415,0.00009416238,0.0001364119,0.0005387189,0.000005646716,0.00002516451],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6156988,"threshold_uncertainty_score":0.8981903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09169261842783757,"score_gpt":0.3214203985864569,"score_spread":0.2297277801586194,"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."}}