{"id":"W2084197020","doi":"10.1109/sysose.2007.4304328","title":"Rubble Search with Canine Augmentation Technology","year":2007,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Government of Ontario; Toronto Metropolitan University","funders":"","keywords":"Rubble; Set (abstract data type); Engineering; Computer science; Forensic engineering; Geotechnical engineering","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":[0.0007637463,0.0007298389,0.0007789871,0.0003508021,0.0003276689,0.0006371357,0.001063325,0.0009630769,0.003597016],"category_scores_gemma":[0.00449281,0.0003678567,0.000413975,0.0003367384,0.0008997867,0.001419826,0.001663845,0.0007555701,0.0006300498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001747777,"about_ca_system_score_gemma":0.0004725411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001139374,"about_ca_topic_score_gemma":0.002112243,"domain_scores_codex":[0.9990968,0.0003076131,0.00005694276,0.0001291139,0.0003036355,0.000106024],"domain_scores_gemma":[0.9979249,0.001027078,0.0002226118,0.0004937095,0.0001911058,0.0001406442],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.009313385,0.004213028,0.01674448,0.002351613,0.0002521513,0.001735982,0.005684773,0.04615657,0.5652638,0.002482378,0.002665011,0.3431369],"study_design_scores_gemma":[0.00167456,0.09357401,0.134123,0.000706071,0.0008655675,0.008747918,0.006177902,0.2553891,0.4171525,0.006029536,0.07496919,0.0005907405],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9739362,0.000158243,0.02086149,0.00008684095,0.00003232472,0.0002805162,0.00006829101,0.00038858,0.004187542],"genre_scores_gemma":[0.9517222,0.0001512489,0.04484526,0.00009037893,0.00001495089,0.0002366087,0.0001650752,0.00005802179,0.002716191],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003597016,"threshold_uncertainty_score":0.01203322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03286484459775354,"score_gpt":0.4186469718886963,"score_spread":0.3857821272909428,"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."}}