{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008350951,0.0002205361,0.0005683919,0.0001674313,0.0005371157,0.0003304216,0.0008978905,0.00009277902,0.00004648824],"category_scores_gemma":[0.000003129106,0.0001919991,0.0001357756,0.0003917992,0.00002748015,0.0002956845,0.0005641835,0.0005368819,0.000004249135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001646696,"about_ca_system_score_gemma":0.0002504679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003870952,"about_ca_topic_score_gemma":0.00002552614,"domain_scores_codex":[0.9976632,0.0003346691,0.000682975,0.0003380293,0.000608149,0.0003730066],"domain_scores_gemma":[0.9979751,0.000359223,0.0006200234,0.0003402485,0.0003266151,0.0003787504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001009476,0.000516826,0.003838996,0.000245546,0.001253315,0.004685786,0.04786282,0.4899411,0.0003036318,0.002894603,0.342654,0.1047939],"study_design_scores_gemma":[0.001227185,0.00156111,0.0005470986,0.0003237973,0.00008956033,0.001521644,0.008437837,0.9233894,0.000005685235,0.001175498,0.06120761,0.0005135832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1035303,0.0195845,0.8565629,0.001835608,0.0154,0.0007070839,0.00005469563,0.00007388799,0.002251034],"genre_scores_gemma":[0.9932034,0.000116649,0.001350521,0.001295029,0.002926399,0.00002491657,0.000004528861,0.00001978338,0.001058795],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8896731,"threshold_uncertainty_score":0.7829497,"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."}}