{"id":"W4417283694","doi":"10.1145/3748636.3760463","title":"A Vision for Structured Experiential Mobility Intelligence","year":2025,"lang":"","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Experiential learning; Generative grammar; Key (lock); Plan (archaeology); Core (optical fiber); Foundation (evidence); Generative model","routes":{"ca_aff":true,"ca_fund":true,"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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001589375,0.0002395182,0.0003916324,0.0001913478,0.001693012,0.0003293913,0.0006203632,0.0003000686,0.007746289],"category_scores_gemma":[0.0008652052,0.0002307625,0.0004881331,0.001322586,0.001044549,0.0002590381,0.0001035774,0.0001700664,0.00003737191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002827759,"about_ca_system_score_gemma":0.0008243765,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006169731,"about_ca_topic_score_gemma":0.02806943,"domain_scores_codex":[0.9971004,0.0003769037,0.0007531085,0.0008720089,0.0004103156,0.0004873108],"domain_scores_gemma":[0.9978803,0.0006530192,0.0001368393,0.000623569,0.0005429629,0.0001632526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004133048,0.001397613,0.001089004,0.0003969807,0.0003198189,5.253962e-7,0.0519823,0.001069261,0.0008137461,0.325491,0.003992334,0.6130341],"study_design_scores_gemma":[0.001231228,0.0007395146,0.004765072,0.0003123354,0.0009745537,1.470763e-7,0.2101104,0.2158965,0.02188484,0.3343073,0.2082362,0.0015419],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09972155,0.0005772226,0.8720411,0.003573966,0.001945467,0.002101736,0.00004468855,0.0001174839,0.01987681],"genre_scores_gemma":[0.9878385,0.00006782601,0.0007536974,0.00043265,0.0002130306,0.0001614444,0.00002114672,0.000006679036,0.01050502],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.888117,"threshold_uncertainty_score":0.9996067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01649369843440494,"score_gpt":0.3691571229321465,"score_spread":0.3526634244977416,"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."}}