{"id":"W4392452947","doi":"10.2139/ssrn.4748027","title":"Spatial Search","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Geography; 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":[0.0006023134,0.0007303962,0.00102594,0.002893585,0.001185986,0.002439117,0.001449967,0.001305037,0.0594032],"category_scores_gemma":[0.004565604,0.0003402222,0.0009422603,0.004250974,0.0006779152,0.002833464,0.002103942,0.0005865014,0.02008368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008455266,"about_ca_system_score_gemma":0.002605379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005749325,"about_ca_topic_score_gemma":0.01081706,"domain_scores_codex":[0.9990927,0.0001278695,0.00006219026,0.0002666389,0.0003260016,0.0001246406],"domain_scores_gemma":[0.9985675,0.0003052228,0.00007393215,0.0005593477,0.0004103112,0.0000836996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007037679,0.00023569,0.003493624,0.0007195194,0.0001497073,0.000285676,0.0001522324,0.02537047,0.01265043,0.1524411,0.09830439,0.7054935],"study_design_scores_gemma":[0.0002702628,0.000573145,0.003809089,0.0002421016,0.0002626189,0.002477178,0.0007823924,0.3684953,0.03827556,0.2394284,0.3452673,0.0001167482],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04914927,0.004418137,0.6832389,0.002233582,0.000968852,0.0009198819,0.01077066,0.009212932,0.2390878],"genre_scores_gemma":[0.4352314,0.002468524,0.3672157,0.001333279,0.0003944895,0.0004998756,0.01382987,0.00112238,0.1779046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0594032,"threshold_uncertainty_score":0.1987235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01014152656955572,"score_gpt":0.2533841095656469,"score_spread":0.2432425829960912,"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."}}