{"id":"W784041006","doi":"10.22488/okstate.18.100320","title":"Taking the \"Lost\" Out of Lost Communications","year":2003,"lang":"en","type":"article","venue":"Collegiate Aviation Review International","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Aeronautics; Engineering; Forensic engineering; Telecommunications","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":[0.0003230388,0.0000891951,0.000122409,0.00006156256,0.00005833052,0.00002269627,0.0003989781,0.0000268589,0.001692396],"category_scores_gemma":[0.0001525745,0.00007396102,0.0000684429,0.0002124472,0.00003417195,0.0001346573,0.00003645649,0.00008281047,0.0001845418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005694532,"about_ca_system_score_gemma":0.0000152783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001230562,"about_ca_topic_score_gemma":0.00001217848,"domain_scores_codex":[0.999221,0.0000613847,0.0003567572,0.00008087765,0.0002002635,0.00007970814],"domain_scores_gemma":[0.9992265,0.00007183117,0.0001798255,0.0003501828,0.0001539685,0.00001765694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009263328,0.0002302009,0.004589581,0.001767351,0.0007244276,0.000001904474,0.0009922914,0.06543975,0.0001655283,0.6877186,0.2005027,0.03785836],"study_design_scores_gemma":[0.0003794985,0.00001094178,0.00308274,0.000819748,0.0001010476,0.000002095329,0.00007385929,0.09720275,0.000108986,0.0003776111,0.8976312,0.0002095072],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.000386983,0.02327198,0.09207,0.004290304,0.002132325,0.001103774,0.00003469843,0.00014448,0.8765655],"genre_scores_gemma":[0.9140082,0.07601347,0.004359949,0.0008034765,0.00008055678,0.00007315767,0.0001728144,0.00003026359,0.004458098],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9136212,"threshold_uncertainty_score":0.9992202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02792336205459956,"score_gpt":0.2741981780484785,"score_spread":0.246274815993879,"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."}}