{"id":"W2033466115","doi":"10.3390/rs3081743","title":"Collective Sensing: Integrating Geospatial Technologies to Understand Urban Systems—An Overview","year":2011,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Impact of Light on Environment and Health","field":"Environmental Science","cited_by":138,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geospatial analysis; Computer science; Data science; Key (lock); Geographic information system; Remote sensing; Systems engineering; Geography; Computer security; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.0004535901,0.000251795,0.0002958142,0.00009640501,0.0004215672,0.00006219117,0.0001545493,0.0001642308,0.00007328024],"category_scores_gemma":[0.0001013901,0.000225049,0.00005262059,0.0003515501,0.0001694162,0.0002303874,0.0001054008,0.0002644507,0.0001980784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001618048,"about_ca_system_score_gemma":0.00005366994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003090128,"about_ca_topic_score_gemma":0.0007764536,"domain_scores_codex":[0.9981204,0.0001330116,0.0003086907,0.0004494582,0.000355959,0.0006324269],"domain_scores_gemma":[0.9991801,0.00004754551,0.0001436284,0.0004120751,0.00001038851,0.0002062597],"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":[0.0004750255,0.0002624307,0.008887719,0.0002154998,0.0001593553,0.0004320925,0.2027242,0.0006878967,0.08094332,0.001534551,0.003538604,0.7001393],"study_design_scores_gemma":[0.003765755,0.005956986,0.06899418,0.002894982,0.0004030435,0.001072618,0.2100684,0.5805894,0.07603491,0.02421733,0.01959656,0.006405898],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9127185,0.0002338387,0.04684443,0.000465401,0.0003728613,0.0007408911,0.00000342867,0.0004391822,0.03818149],"genre_scores_gemma":[0.9603765,0.00003117152,0.03863346,0.0002715452,0.00006599809,1.886724e-8,0.000002272776,0.00003575294,0.0005833078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6937334,"threshold_uncertainty_score":0.9177231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08407090241291468,"score_gpt":0.2815400003096044,"score_spread":0.1974690978966897,"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."}}