{"id":"W4393645918","doi":"10.5281/zenodo.5181831","title":"Vertical Profiles and Surface Observations at Canadian Airports","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Air Traffic Management and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Geography; Surface (topology); Geology; Meteorology; Geodesy; Environmental science; Climatology; Geometry; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001796583,0.000181768,0.0001564468,0.0001733488,0.001169636,0.0005159256,0.0003969008,0.0001437244,0.01033823],"category_scores_gemma":[0.0001570878,0.0002162555,0.00002976895,0.0003530296,0.0000729549,0.0001428132,0.000516281,0.0002566654,0.00157586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000314209,"about_ca_system_score_gemma":0.000008059034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005460409,"about_ca_topic_score_gemma":0.0003607022,"domain_scores_codex":[0.9988438,0.00007798705,0.0002062091,0.0003160328,0.0002269794,0.0003290045],"domain_scores_gemma":[0.9991226,0.00001282811,0.00002570611,0.0003909909,0.0001939029,0.0002539388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000002819956,0.00001394155,0.000001419287,0.0001863783,0.00004385017,0.00003596577,0.00004800452,0.004699739,0.00001542319,0.000100521,0.9937333,0.00111862],"study_design_scores_gemma":[0.0001261157,0.00002131512,0.0001744365,0.00004192998,0.00003603212,0.00002854308,0.00003896268,0.005532154,0.00001251532,0.000004127279,0.9937679,0.0002159294],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001680897,0.0003959446,0.0005068516,0.0005421182,0.0003191593,0.0006566666,0.9806343,0.0009701203,0.01429398],"genre_scores_gemma":[0.001185995,0.0007881036,0.0001883672,0.00008039548,0.00008570567,4.986356e-8,0.9964157,0.0006982504,0.0005574261],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01578144,"threshold_uncertainty_score":0.9992015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0275961846923863,"score_gpt":0.2021300561114438,"score_spread":0.1745338714190575,"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."}}