{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004639337,0.00138754,0.0008863558,0.002210632,0.0007982095,0.0008356777,0.001480052,0.001517207,0.00891515],"category_scores_gemma":[0.002109457,0.0002346304,0.0008251483,0.003475285,0.000343029,0.0006996058,0.001654412,0.0009573664,0.01595738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008096317,"about_ca_system_score_gemma":0.001061591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03953962,"about_ca_topic_score_gemma":0.07506984,"domain_scores_codex":[0.9992647,0.0001485324,0.0001043774,0.0001725422,0.0001906683,0.0001192526],"domain_scores_gemma":[0.9990563,0.0001511123,0.00008560175,0.0002181735,0.0003337916,0.0001549282],"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":[0.0003254047,0.000240271,0.01587049,0.001090456,0.0001053935,0.000315815,0.0002939988,0.001298001,0.0008041502,0.0008027759,0.9588337,0.02001961],"study_design_scores_gemma":[0.0003027567,0.0002288966,0.1428324,0.0005674301,0.00009574068,0.0008090669,0.001493566,0.005797131,0.001897987,0.001664177,0.8441533,0.0001575135],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.007905681,0.000251462,0.0005441711,0.0002532567,0.00008203056,0.00009526662,0.9882687,0.0007932083,0.001806095],"genre_scores_gemma":[0.008043962,0.0001237242,0.001074233,0.00008493439,0.00002198936,0.0002299262,0.9891917,0.00003432287,0.001195217],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03953962,"threshold_uncertainty_score":0.078619,"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."}}