{"id":"W2014835144","doi":"10.1080/07055900.2011.557799","title":"Continuous 1064/532 nm Lidar Measurements (CORALNet-UBC) in Vancouver, British Columbia: Selected Results from a Year of Operation","year":2011,"lang":"en","type":"article","venue":"ATMOSPHERE-OCEAN","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; University of British Columbia","funders":"","keywords":"Snow; Meteorology; Software deployment; Lidar; Environmental science; Air quality index; Aerosol; Range (aeronautics); Computer science; Remote sensing; Geography; Engineering; Aerospace engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003339594,0.0002069796,0.0004095449,4.505778e-7,0.0001186631,0.00008203193,0.0004141063,0.0001924161,0.00543753],"category_scores_gemma":[0.0001224478,0.000284068,0.0000787395,0.0004871136,0.0001816062,0.0003099857,0.0001719378,0.0002115958,0.0001577021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002088706,"about_ca_system_score_gemma":0.00005266698,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.3325182,"about_ca_topic_score_gemma":0.3944384,"domain_scores_codex":[0.9975129,0.0001285081,0.0007012775,0.0006434196,0.0005567995,0.0004571193],"domain_scores_gemma":[0.9990286,0.00003365287,0.0002829748,0.0004445113,0.00005742031,0.0001528377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001508765,0.0003890599,0.9468591,0.000005160145,0.00003915955,0.00003529027,0.001204721,0.000216632,0.001153965,0.000001352547,0.04439676,0.005547937],"study_design_scores_gemma":[0.003357969,0.0003492372,0.9907849,0.00008528233,0.00003964731,0.000003176562,0.0007952134,0.000625167,0.0009951179,0.000244253,0.002270845,0.0004491639],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776319,0.0000706908,0.000124743,0.000008746587,0.0002890659,0.0004330557,0.00005286816,0.0000726582,0.02131627],"genre_scores_gemma":[0.9865118,0.00003126442,0.008704124,0.0001157627,0.00004794698,0.000007285069,0.00003601957,0.0000460916,0.004499672],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06192029,"threshold_uncertainty_score":0.9999611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558976300008688,"score_gpt":0.1930325947262019,"score_spread":0.1774428317261151,"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."}}