{"id":"W4398250501","doi":"10.32866/001c.117422","title":"Travel Behavior during the 2021 British Columbia Floods Using De-identified Network Mobility Data","year":2024,"lang":"en","type":"article","venue":"Findings","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Geography; History","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002549495,0.0001948401,0.0001507806,0.0008695903,0.0009095385,0.0007968932,0.0003791053,0.0002101072,0.0009851238],"category_scores_gemma":[0.002135632,0.000112997,0.0001087604,0.002618143,0.0002827173,0.000338019,0.0006209944,0.0003502824,0.0002070456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006092662,"about_ca_system_score_gemma":0.004954799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9662075,"about_ca_topic_score_gemma":0.9878618,"domain_scores_codex":[0.9997529,0.00003735732,0.00001246839,0.00004717204,0.00007504036,0.00007490502],"domain_scores_gemma":[0.9992025,0.0001116778,0.0001339319,0.00005617384,0.000390467,0.0001052451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001194051,0.00006037847,0.9631721,0.00005708281,0.000061942,0.0001776793,0.004166194,0.003279829,0.000769085,0.0003792697,0.004758605,0.02299838],"study_design_scores_gemma":[0.000002924121,0.00001666406,0.9877654,0.00003009433,0.00001168346,0.00003587869,0.00555064,0.002895336,0.0001341199,0.00005214716,0.003488246,0.00001683305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945316,0.00005319831,0.0001623795,0.0001103168,0.000003439479,0.00001801801,0.00345939,0.000008497203,0.001653007],"genre_scores_gemma":[0.9944462,0.0001420811,0.0003446072,0.00003204656,0.000002341053,0.00003154668,0.0036406,0.000003512284,0.001357054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0337925,"threshold_uncertainty_score":0.06798297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0421045776594843,"score_gpt":0.3276419016725411,"score_spread":0.2855373240130569,"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."}}