{"id":"W1991875834","doi":"10.1016/j.isprsjprs.2014.12.001","title":"ISPRS Journal of Photogrammetry and Remote Sensing Theme Issue “Integrated Imaging and Sensor Fusion for Rapid Response and Monitoring Applications”","year":2015,"lang":"en","type":"article","venue":"ISPRS Journal of Photogrammetry and Remote Sensing","topic":"Calibration and Measurement Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Photogrammetry; Remote sensing; Sensor fusion; Computer science; Theme (computing); Computer vision; Computer graphics (images); Artificial intelligence; Geography; World Wide Web","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":[0.001749791,0.001194387,0.00101944,0.003627342,0.0009103905,0.002319308,0.001029765,0.001397843,0.02691902],"category_scores_gemma":[0.001993707,0.0003851281,0.000805672,0.004306009,0.0006241534,0.002635218,0.00164626,0.001296958,0.01441225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007630443,"about_ca_system_score_gemma":0.002573948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002896961,"about_ca_topic_score_gemma":0.003939967,"domain_scores_codex":[0.9985252,0.0001118022,0.00007628553,0.0001016032,0.00112285,0.00006231744],"domain_scores_gemma":[0.9979661,0.0001199296,0.0001106522,0.0002585004,0.001433558,0.0001113254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009346136,0.0001783327,0.001674351,0.0009398007,0.000127064,0.0001928343,0.00005539356,0.006486038,0.03136655,0.006859068,0.480276,0.4717511],"study_design_scores_gemma":[0.00001553537,0.00008919684,0.01139433,0.000175145,0.00008238754,0.0008223318,0.0001003464,0.02098418,0.04113734,0.007064816,0.9180825,0.00005179874],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.03866863,0.04367574,0.3379872,0.02337562,0.1040421,0.001346626,0.0187187,0.01199965,0.4201858],"genre_scores_gemma":[0.1611248,0.06438752,0.1679177,0.002923098,0.02105076,0.0005676568,0.04300135,0.004517628,0.5345094],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.02691902,"threshold_uncertainty_score":0.09005314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02228379539450673,"score_gpt":0.2701117981512814,"score_spread":0.2478280027567747,"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."}}