{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002453743,0.001317547,0.0009859655,0.006948864,0.0008410247,0.005419158,0.001287295,0.00214037,0.00200873],"category_scores_gemma":[0.001719492,0.0008411069,0.0009812855,0.005510233,0.002570104,0.009572618,0.002309954,0.002057931,0.0005712283],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563527,"about_ca_system_score_gemma":0.001259473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004256971,"about_ca_topic_score_gemma":0.003872281,"domain_scores_codex":[0.9990803,0.0002795906,0.00007254259,0.000136174,0.000361634,0.00006976592],"domain_scores_gemma":[0.9987547,0.0008079576,0.00005356645,0.00009684572,0.0002272555,0.00005957878],"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":[0.00004164232,0.0001823516,0.007760294,0.004701639,0.0003017459,0.00034961,0.002349576,0.01677603,0.003139148,0.3426661,0.01291449,0.6088173],"study_design_scores_gemma":[0.00001395736,0.0001830042,0.006643713,0.002369798,0.0001832151,0.001347266,0.002665589,0.03241281,0.003072435,0.3709967,0.5799696,0.0001418463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009608718,0.4249162,0.4810671,0.01195598,0.0009997891,0.0002860888,0.0002838399,0.0007785396,0.07010383],"genre_scores_gemma":[0.1254174,0.5191651,0.3403161,0.001998801,0.002656376,0.0003550211,0.0005626265,0.0002408127,0.009287916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006948864,"threshold_uncertainty_score":0.01297683,"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."}}