{"id":"W659571384","doi":"","title":"Vertical progress : profiling the ICAO Heliport Design Working Group","year":2011,"lang":"en","type":"article","venue":"ICAO bulletin","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Profiling (computer programming); Aeronautics; Engineering; Table (database); Transport engineering; Aerospace engineering; Computer science","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":[0.004795399,0.001273134,0.0004169688,0.002419207,0.001361915,0.004035167,0.001271877,0.0008028671,0.01835375],"category_scores_gemma":[0.003131573,0.0004502482,0.0004865703,0.002074507,0.0004145718,0.001844869,0.00149565,0.0007739103,0.007391842],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002064274,"about_ca_system_score_gemma":0.004789575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009454702,"about_ca_topic_score_gemma":0.01339136,"domain_scores_codex":[0.997429,0.0004833927,0.000133095,0.0002127511,0.001482418,0.0002594415],"domain_scores_gemma":[0.9971655,0.0002091457,0.0001559629,0.0002801154,0.001988513,0.0002008327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003614399,0.0001505683,0.0133363,0.0005052736,0.00004826967,0.00006057127,0.0005372078,0.0350008,0.009843246,0.02197213,0.1663819,0.7518023],"study_design_scores_gemma":[0.00006338842,0.0004829418,0.01306073,0.0004278835,0.00007201664,0.0001266032,0.0008676052,0.0369877,0.01800921,0.009404505,0.920423,0.00007447672],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06279643,0.00689819,0.3161477,0.004061031,0.001767316,0.0009011178,0.01171042,0.007172258,0.5885454],"genre_scores_gemma":[0.3335955,0.008613585,0.3759775,0.001382943,0.0007129348,0.001419112,0.03347688,0.004431426,0.24039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01835375,"threshold_uncertainty_score":0.06139934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03185160640656837,"score_gpt":0.1908562950368517,"score_spread":0.1590046886302833,"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."}}