{"id":"W4237905818","doi":"10.1016/b978-0-444-64193-9.00008-7","title":"Considerations for informed consent in the context of online, interactive, atlas creation","year":2019,"lang":"en","type":"book-chapter","venue":"Modern cartography","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Informed consent; Digitization; Engineering ethics; Research ethics; The Internet; Context (archaeology); Indigenous; Work (physics); Information ethics; Sociology; Public relations; Knowledge management; Political science; Computer science; World Wide Web; Engineering; Geography; Medicine; Alternative medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3524635,0.001107067,0.001954199,0.002034854,0.008875214,0.01730939,0.008448347,0.05055286,0.01846439],"category_scores_gemma":[0.4815851,0.002016102,0.001851951,0.00299681,0.03064751,0.02353737,0.01006235,0.03992652,0.005921128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004884742,"about_ca_system_score_gemma":0.03829069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004290595,"about_ca_topic_score_gemma":0.006813744,"domain_scores_codex":[0.6465298,0.3059896,0.0161054,0.006249801,0.020288,0.0048374],"domain_scores_gemma":[0.3398083,0.608524,0.006768554,0.02588694,0.01320577,0.005806454],"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":[0.0001581448,0.0001867743,0.0005788795,0.0007844562,0.00005052677,0.002062222,0.03153984,0.0008610581,0.0006429376,0.7821175,0.1068005,0.07421719],"study_design_scores_gemma":[0.0002030364,0.0001497524,0.0005427834,0.005588459,0.00006515547,0.003444646,0.01205562,0.00204644,0.001011425,0.6491732,0.3255257,0.0001937858],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.008387089,0.009584414,0.2332254,0.5265577,0.008921668,0.005333988,0.0006380886,0.0004455328,0.2069061],"genre_scores_gemma":[0.2958967,0.01468542,0.377644,0.1996462,0.0124394,0.03365339,0.0009131287,0.0008144419,0.06430727],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3524635,"threshold_uncertainty_score":0.7985278,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05712894347397146,"score_gpt":0.3231387702841898,"score_spread":0.2660098268102183,"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."}}