{"id":"W635341647","doi":"","title":"USERS PRAISE NAV CANADA, BUT CONTROLLERS FEEL NEGLECTED","year":2001,"lang":"en","type":"article","venue":"Business and commercial aviation","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Praise; Computer science; Psychology; Human–computer interaction; Social psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001325019,0.00008527675,0.0001221921,0.00003583114,0.0002049145,0.0001166001,0.0001070775,0.00004139662,0.0001470979],"category_scores_gemma":[0.0001143718,0.00007502373,0.000009895044,0.0002731042,0.00004780576,0.0001920128,0.00003452281,0.00004233202,0.00001233365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008048268,"about_ca_system_score_gemma":0.0002013061,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.4343069,"about_ca_topic_score_gemma":0.2118865,"domain_scores_codex":[0.9991885,0.00003829031,0.0001257438,0.0001531219,0.0002341026,0.0002602844],"domain_scores_gemma":[0.999589,0.00004038008,0.00003861808,0.00009044767,0.0001475646,0.00009404679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000186601,0.00005976454,0.007406642,0.0000529703,0.000006113984,0.00002644193,0.0001419341,0.001091355,0.9557251,0.00223244,0.003666529,0.02940416],"study_design_scores_gemma":[0.000793902,0.00003149926,0.9643441,0.00003824191,0.00001034295,0.00001730693,0.00006670449,0.001464979,0.006615129,0.0001381696,0.02624089,0.0002387156],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932406,0.00007236002,0.002110505,0.003183206,0.0006621535,0.0001220346,0.00001243982,0.00004586134,0.0005508595],"genre_scores_gemma":[0.9989741,0.00007092788,0.0001335662,0.0001589068,0.0001600484,0.00001808133,0.00001096614,0.000006856357,0.0004665545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9569375,"threshold_uncertainty_score":0.8024945,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304002785979511,"score_gpt":0.232254137268095,"score_spread":0.2192141094082999,"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."}}