{"id":"W2136145853","doi":"10.1109/hicss.1995.375737","title":"Towards a more human (re)design of digital spatial technologies with emphasis on an uncertainty-based cartographic representation","year":2002,"lang":"en","type":"article","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre de Géomatique du Québec","funders":"","keywords":"Computer science; Representation (politics); Spatial analysis; Process (computing); Data science; Emphasis (telecommunications); Human–computer interaction; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008787507,0.000898782,0.0007999467,0.002285257,0.001143724,0.009195496,0.003430999,0.001831167,0.005548864],"category_scores_gemma":[0.008901156,0.0007355441,0.001285831,0.002068147,0.0088389,0.01394745,0.00408363,0.002645479,0.001179486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002281861,"about_ca_system_score_gemma":0.002817307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003222723,"about_ca_topic_score_gemma":0.003562013,"domain_scores_codex":[0.9951476,0.002520395,0.0003289634,0.000630661,0.001221552,0.0001507721],"domain_scores_gemma":[0.9936929,0.002469457,0.0004740168,0.001864562,0.001164978,0.0003340805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003744281,0.0000630974,0.0008379045,0.0005200226,0.00006442281,0.000169003,0.006060395,0.02275167,0.004213873,0.8147754,0.006328539,0.1441782],"study_design_scores_gemma":[0.00004343404,0.0001399722,0.0007862088,0.0004530469,0.0001139999,0.0004412907,0.004678292,0.08638863,0.005597743,0.5719669,0.3292935,0.0000969818],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003255167,0.0003986427,0.9821334,0.003749371,0.00006764764,0.0000737552,0.0000394473,0.0005119045,0.009770643],"genre_scores_gemma":[0.05995845,0.0008719626,0.9331393,0.0006103365,0.00008749177,0.000190965,0.0001475836,0.0002074315,0.004786438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009195496,"threshold_uncertainty_score":0.04647338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06538709181426523,"score_gpt":0.3208137358000416,"score_spread":0.2554266439857764,"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."}}