{"id":"W4390580944","doi":"10.5383/juspn.17.01.003","title":"From Collective Memory to Map Services","year":2022,"lang":"en","type":"article","venue":"Journal of Ubiquitous Systems and Pervasive Networks","topic":"Opportunistic and Delay-Tolerant Networks","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Collective memory; Refugee; Alienation; Group cohesiveness; Palimpsest; Crowdsourcing; Point (geometry); Context (archaeology); Cohesion (chemistry); Quality (philosophy); Computer science; Affect (linguistics); Social group; Psychology; Social psychology; Sociology; Business; Internet privacy; Public relations; World Wide Web; Political science; Geography; Communication; Epistemology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006654607,0.0007108824,0.0003618371,0.00072462,0.001124967,0.002984487,0.002045142,0.001447398,0.008892141],"category_scores_gemma":[0.002748301,0.0001988184,0.0004961932,0.001012981,0.000879688,0.003539546,0.004642507,0.001080234,0.002736134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005993504,"about_ca_system_score_gemma":0.0008521569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007033242,"about_ca_topic_score_gemma":0.005368243,"domain_scores_codex":[0.9991962,0.0002044389,0.00003144614,0.000104822,0.0002988587,0.0001641648],"domain_scores_gemma":[0.9988744,0.0002812816,0.00006324948,0.0004152352,0.0001715773,0.0001943235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007847528,0.0004475226,0.005754715,0.001668748,0.0001763189,0.00181628,0.007777367,0.01091741,0.02102893,0.09401014,0.08524107,0.7703767],"study_design_scores_gemma":[0.0001201149,0.0003691845,0.003973135,0.0003335221,0.0001761449,0.001684417,0.01068389,0.0929969,0.03511198,0.1433791,0.7110059,0.0001658374],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.2002807,0.006885707,0.523956,0.01044478,0.001530294,0.0009638857,0.001998092,0.04018553,0.213755],"genre_scores_gemma":[0.8833407,0.001794977,0.07574143,0.0007072297,0.0002867381,0.0002130129,0.0009715231,0.0008078919,0.03613653],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008892141,"threshold_uncertainty_score":0.02974719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01150499547713451,"score_gpt":0.2194003465203374,"score_spread":0.2078953510432029,"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."}}