{"id":"W2028152845","doi":"10.1109/igarss.2014.6947036","title":"Software development to speed up disaster management with remote sensing","year":2014,"lang":"en","type":"article","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Software; Natural disaster; Work (physics); Software development; Software engineering; Emergency management; Systems engineering; Engineering; Operating system","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":[0.006618236,0.0007254888,0.0005103168,0.001913413,0.0005312131,0.001296086,0.00213732,0.0007013338,0.003253813],"category_scores_gemma":[0.02752589,0.0006884745,0.0008983707,0.001102954,0.0005551745,0.002551108,0.001775051,0.0009930553,0.001976124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005107796,"about_ca_system_score_gemma":0.002015507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00368555,"about_ca_topic_score_gemma":0.002816651,"domain_scores_codex":[0.9970374,0.001063589,0.0003572449,0.0003585837,0.001011144,0.0001719965],"domain_scores_gemma":[0.979803,0.01196553,0.001078808,0.002737278,0.003930881,0.0004845385],"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":[0.0003105737,0.000497903,0.01578739,0.001856502,0.0001758063,0.0008012388,0.002712782,0.02298595,0.04261534,0.01610431,0.02298438,0.8731678],"study_design_scores_gemma":[0.000414643,0.001600274,0.02953787,0.00232217,0.000449389,0.003267827,0.002226839,0.4276721,0.1358667,0.0424705,0.3539069,0.0002647191],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03394248,0.0004959693,0.9334083,0.0006758253,0.00008180884,0.0007824858,0.0003768234,0.02354111,0.006695126],"genre_scores_gemma":[0.1060431,0.0006417031,0.8857447,0.0002247838,0.000033525,0.0004512643,0.001710244,0.002405533,0.00274517],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006618236,"threshold_uncertainty_score":0.03500098,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01868996428563735,"score_gpt":0.2612733710813733,"score_spread":0.2425834067957359,"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."}}