{"id":"W2943335455","doi":"10.1111/cag.12521","title":"Teaching critical open GIS","year":2019,"lang":"en","type":"article","venue":"Canadian Geographies / Géographies canadiennes","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universität Wien","keywords":"Traditional knowledge GIS; Key (lock); Bridge (graph theory); Geographic information system; Open source; Distributed GIS; GIS applications; Computer science; Curriculum; AM/FM/GIS; GIS Day; GIS and public health; Geography; Cartography; Sociology; Software; Pedagogy; Computer security; Medicine; Programming language","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":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001938796,0.000448984,0.0006231762,0.004413641,0.004190127,0.0009946551,0.00195109,0.0003156207,0.0009613544],"category_scores_gemma":[0.0006741234,0.0004860674,0.0003620567,0.004582765,0.002489431,0.00170088,0.0002350886,0.0005080929,0.0002900905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002267947,"about_ca_system_score_gemma":0.0006422974,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9778156,"about_ca_topic_score_gemma":0.9975489,"domain_scores_codex":[0.9954932,0.000327635,0.0006666047,0.0006697324,0.0006328582,0.002210005],"domain_scores_gemma":[0.9961649,0.0005101062,0.0001809231,0.0007975646,0.0005318522,0.001814696],"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":[0.000009758596,0.00001771086,0.2602164,0.00006598777,0.0001672668,0.00003072949,0.02341148,0.000002845366,0.000003397295,0.6931611,0.01905451,0.003858835],"study_design_scores_gemma":[0.0003177909,0.00008073043,0.03597573,0.00009004941,0.00004330817,0.00001538216,0.1396935,0.000004855237,0.00000112226,0.007699697,0.8153765,0.0007013319],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4195018,0.001088232,0.000004085756,0.01277957,0.003177632,0.001625239,0.0001762786,0.0002840126,0.5613632],"genre_scores_gemma":[0.9907264,0.0004232363,0.0003229877,0.002131331,0.0002751947,0.0001830279,0.0000378691,0.00005024574,0.005849721],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.796322,"threshold_uncertainty_score":0.9999519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01545451110737861,"score_gpt":0.2649417964742259,"score_spread":0.2494872853668473,"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."}}