{"id":"W2320197350","doi":"10.1177/154193120204600135","title":"Imaging Systems in Search and Rescue: Implications for Geographic Orientation","year":2002,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Spatial Cognition and Navigation","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Technician; Orientation (vector space); Terrain; Search and rescue; Computer science; Frame (networking); Computer vision; Artificial intelligence; Process (computing); Task (project management); Urban search and rescue; Geography; Cartography; Engineering; Systems engineering; Mathematics","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":[0.003798614,0.000965565,0.0009061128,0.001571447,0.002220663,0.007471375,0.001540108,0.004294449,0.01755153],"category_scores_gemma":[0.01232063,0.0003340954,0.0004760694,0.00217264,0.008680437,0.007505944,0.002444332,0.002724398,0.001238038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003215156,"about_ca_system_score_gemma":0.003531348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01519797,"about_ca_topic_score_gemma":0.01385615,"domain_scores_codex":[0.9977842,0.001378336,0.0000855032,0.0001860359,0.000330222,0.0002357125],"domain_scores_gemma":[0.9878684,0.007898944,0.000867299,0.0003139552,0.001753898,0.001297569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005459796,0.0006952151,0.03170582,0.00178028,0.0001449379,0.002125871,0.0109557,0.006322802,0.001621774,0.6218027,0.0320139,0.290285],"study_design_scores_gemma":[0.0001378517,0.0006543183,0.07482682,0.003776951,0.000119138,0.00293053,0.05575212,0.00717008,0.001514686,0.6483481,0.2045363,0.0002330868],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.08273461,0.3281122,0.02159595,0.3618572,0.004284844,0.0001153049,0.0003135705,0.0001276236,0.2008587],"genre_scores_gemma":[0.7860219,0.1658418,0.01536811,0.01253708,0.003421606,0.0002052382,0.00009788022,0.0000675685,0.01643872],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01755153,"threshold_uncertainty_score":0.05871576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091082549080187,"score_gpt":0.2418366000300275,"score_spread":0.2209257745392256,"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."}}