{"id":"W576573631","doi":"","title":"Canadian SAR operations : how agencies & volunteers cover vast area in optimal way","year":2011,"lang":"en","type":"article","venue":"AIR BEAT","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Cover (algebra); Computer science; Remote sensing; Business; Geography; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00005314459,0.00008946582,0.00008499147,0.00009701877,0.0000547757,0.00001990694,0.00008806854,0.00006284239,0.001604513],"category_scores_gemma":[0.00001334988,0.0000950043,0.00002960577,0.0001324448,0.00001779814,0.0001628695,0.000009529284,0.0001081745,0.0001770937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002163625,"about_ca_system_score_gemma":0.0000567878,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04072443,"about_ca_topic_score_gemma":0.1728653,"domain_scores_codex":[0.9995334,0.000009594723,0.00009137151,0.00009339058,0.00006439276,0.0002078593],"domain_scores_gemma":[0.9997084,0.000007864453,0.000003392617,0.0001306205,0.00002501461,0.0001246941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002390584,0.0000913823,0.06613047,0.0001191507,0.0002001194,0.0002717542,0.034486,0.7203876,0.003837466,0.007675242,0.1559633,0.01081365],"study_design_scores_gemma":[0.001111994,0.00007722218,0.1863274,0.00009071371,0.00003466161,0.00002787447,0.002501654,0.5911478,0.006821332,0.00006149322,0.210746,0.001051821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8238867,0.000145538,0.003005929,0.0009638921,0.0004732452,0.0002936064,0.00012354,0.0002271393,0.1708804],"genre_scores_gemma":[0.9951831,0.00001590201,0.001181594,0.000191052,0.00002296699,0.000008955687,0.00004492204,0.00001502379,0.003336559],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1712963,"threshold_uncertainty_score":0.9993082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01642965636095898,"score_gpt":0.1825295459628495,"score_spread":0.1660998896018905,"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."}}