{"id":"W4250381013","doi":"10.1007/978-1-4614-6170-8_110057","title":"Citizen Sensing","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Mobile Crowdsensing and Crowdsourcing","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Environmental science; Computer science; Remote sensing; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002566784,0.0003203643,0.0003602534,0.0001506615,0.0001444647,0.0003069071,0.0005304737,0.0002760928,0.0001178108],"category_scores_gemma":[0.0000172442,0.0002988831,0.0001763826,0.00002734017,0.00005985189,0.00005869966,0.0003159776,0.0003296779,0.000951254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000464572,"about_ca_system_score_gemma":0.00005882117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001182371,"about_ca_topic_score_gemma":0.000005831664,"domain_scores_codex":[0.998485,0.00001677009,0.0002801103,0.0006042297,0.0003193354,0.0002945422],"domain_scores_gemma":[0.9983438,0.0001118078,0.0001480643,0.001166248,0.0001014734,0.0001286676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[5.212656e-7,8.12909e-7,2.322951e-7,0.00001456004,0.00001866579,0.00004205979,0.00005048721,0.00001251888,0.00005302423,0.7715155,0.01624323,0.2120484],"study_design_scores_gemma":[0.0001330028,0.00003627167,0.000001771844,0.0002622216,0.00001948266,0.000192096,0.000002138475,0.01901582,0.0003129958,0.06902427,0.9103447,0.0006552978],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000003347612,0.00005386452,0.4141115,0.0002088453,0.0003647977,0.00005357945,3.847007e-7,0.0003718646,0.5848318],"genre_scores_gemma":[0.005204357,0.0000120656,0.03875874,0.001092785,0.0004290545,2.887045e-7,0.000003877505,0.00004994157,0.9544489],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8941014,"threshold_uncertainty_score":0.9999464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307428946056791,"score_gpt":0.1989211798633164,"score_spread":0.1858468904027485,"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."}}