{"id":"W2035270294","doi":"10.5555/1516744.1516952","title":"On the availability of the CH149 Cormorant fleet","year":2008,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cormorant; Procurement; Service (business); Ideal (ethics); Discrete event simulation; Operations research; Computer science; Search and rescue; Aeronautics; Business; Engineering; Simulation; Marketing; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009516163,0.0002564388,0.0002726727,0.0004470104,0.0004155443,0.0009249084,0.0005985025,0.0004360161,0.002900386],"category_scores_gemma":[0.006340382,0.0002430272,0.0002955897,0.0003828585,0.0005286696,0.0009985527,0.0005063327,0.0004526456,0.0002684114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001866775,"about_ca_system_score_gemma":0.0009521295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07055511,"about_ca_topic_score_gemma":0.05318153,"domain_scores_codex":[0.9994149,0.0001899979,0.00002190521,0.00009026686,0.0001234374,0.0001594512],"domain_scores_gemma":[0.9969668,0.001925135,0.0002730471,0.000199433,0.0004627347,0.0001728198],"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":[0.0004144603,0.00003628304,0.01993159,0.00004715761,0.0000354989,0.0002686843,0.0001314826,0.9642096,0.002204403,0.004319306,0.0008799155,0.007521649],"study_design_scores_gemma":[0.00002543811,0.0001533812,0.0147578,0.00003346383,0.00002726835,0.0001302626,0.000264556,0.978893,0.001639578,0.003017698,0.001033114,0.00002444473],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9753546,0.0002385446,0.01114088,0.0004368687,0.00002099878,0.000023031,0.0008638248,0.00007793546,0.01184343],"genre_scores_gemma":[0.9987034,0.00005258351,0.0005843627,0.000009217482,0.000001717263,0.000004293663,0.0001799551,0.000007324266,0.0004571659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9294449,"threshold_uncertainty_score":0.1402888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06864393064686043,"score_gpt":0.2610602164754706,"score_spread":0.1924162858286101,"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."}}