{"id":"W4362655015","doi":"10.1109/icinc58035.2022.00005","title":"Preface","year":2022,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001828382,0.001249896,0.0009855664,0.002429637,0.00308588,0.005013816,0.00185127,0.00205994,0.5501044],"category_scores_gemma":[0.01068593,0.0004038513,0.0007938138,0.002155445,0.0008508044,0.004117777,0.002877104,0.003219753,0.3892493],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002261769,"about_ca_system_score_gemma":0.003249392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003273986,"about_ca_topic_score_gemma":0.003646432,"domain_scores_codex":[0.9984836,0.0002432627,0.0001277167,0.0003278188,0.000650414,0.0001672566],"domain_scores_gemma":[0.9954086,0.0007218297,0.0001829372,0.0004434363,0.002514109,0.0007290141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004382338,0.00002227049,0.0001469718,0.0001428965,0.000003077031,0.0000698552,0.0001512496,0.00006337888,0.0001326935,0.005757877,0.9508802,0.04258571],"study_design_scores_gemma":[0.000004023569,0.00001494458,0.0002045582,0.00010003,0.000001548264,0.00006941016,0.0001277307,0.00002456367,0.00005768932,0.001579535,0.9978114,0.000004510336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002281765,0.01171447,0.00837682,0.03380477,0.1179401,0.0008584906,0.01787207,0.002428116,0.8047234],"genre_scores_gemma":[0.0102809,0.006962334,0.004461022,0.009465885,0.01607959,0.0005499815,0.01810093,0.001260425,0.9328388],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4498956,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01814595712952538,"score_gpt":0.3091424029495227,"score_spread":0.2909964458199973,"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."}}