{"id":"W4412079159","doi":"10.59297/bhpfnx05","title":"Assessing Drone Performance and Probability of Detection for Search and Rescue Operation in Northern Canada","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... International ISCRAM Conference","topic":"UAV Applications and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Drone; Search and rescue; Aeronautics; Computer science; Computer security; Engineering; Artificial intelligence; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0005443092,0.0002680549,0.0002265962,0.0007709093,0.0008476626,0.001094925,0.0005515155,0.0002112701,0.001270309],"category_scores_gemma":[0.00351242,0.0001423281,0.0002859852,0.001346177,0.0005948758,0.0003226653,0.0003884297,0.0003013199,0.0001623881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0147013,"about_ca_system_score_gemma":0.01465516,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9911489,"about_ca_topic_score_gemma":0.9949729,"domain_scores_codex":[0.9994909,0.00004088162,0.00002369875,0.00007373817,0.0002119347,0.0001587964],"domain_scores_gemma":[0.9974145,0.0004405276,0.0003860122,0.00008994677,0.001194658,0.0004743432],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002254763,0.00006389769,0.9640714,0.00004304059,0.00008736002,0.0002295284,0.0007449708,0.01485813,0.001203072,0.0003622143,0.001350321,0.01676072],"study_design_scores_gemma":[0.000005611886,0.00005585934,0.9831682,0.00001567617,0.00002189188,0.00005973421,0.002337374,0.01304487,0.000375346,0.00005281871,0.000838742,0.00002396236],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966607,0.0001213354,0.0003840018,0.00009149046,0.000003323349,0.00002009982,0.0009902228,0.00002118272,0.001707712],"genre_scores_gemma":[0.9982323,0.0001070313,0.0002600228,0.00001421752,9.135969e-7,0.000004860596,0.0006196979,0.000003767342,0.0007571359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0147013,"threshold_uncertainty_score":0.106666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307214670741616,"score_gpt":0.2331483195450595,"score_spread":0.2200761728376433,"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."}}