{"id":"W4394238614","doi":"10.6084/m9.figshare.15000384.v2","title":"A Human Mobility Dataset Collected via LBSLab","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004117775,0.0003058435,0.0005137631,0.0001707546,0.001509181,0.0003492216,0.001099224,0.0005972809,0.8229791],"category_scores_gemma":[0.004111724,0.0003396354,0.0002380591,0.001158261,0.00008925481,0.0001414647,0.0002465878,0.000609826,0.005992165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003704193,"about_ca_system_score_gemma":0.001503686,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02505842,"about_ca_topic_score_gemma":0.30499,"domain_scores_codex":[0.9966792,0.0008088658,0.0004691484,0.0008085212,0.0007675301,0.0004667337],"domain_scores_gemma":[0.9971893,0.0003328446,0.0002911768,0.001458844,0.000462848,0.0002649204],"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":[0.000001823544,0.0002160441,0.000001119989,0.0002810204,0.00007122178,0.00002936524,0.0001399626,0.000005013551,7.855954e-7,0.000001113047,0.9990731,0.000179429],"study_design_scores_gemma":[0.000113078,0.00001805942,0.0001000821,0.0004455988,0.00009960484,4.077632e-7,0.0002115573,0.00001169129,0.00000374705,0.00003745752,0.9985912,0.0003675155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000003531157,0.0001996349,3.684566e-7,0.0001106687,0.00006655217,0.0004640294,0.9986366,0.0000712624,0.000447339],"genre_scores_gemma":[0.00009198574,0.00001053492,0.000004109044,0.0004389603,0.0005321261,0.0004538251,0.9975947,0.00001456898,0.0008591697],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8169869,"threshold_uncertainty_score":0.9999056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05450221168959171,"score_gpt":0.3540577982795577,"score_spread":0.2995555865899661,"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."}}