{"id":"W4230340917","doi":"10.5194/acp-2017-1153","title":"Characterization of trace gas emissions at an intermediate port","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University","funders":"Canada Foundation for Innovation; Parks Canada","keywords":"Trace gas; Environmental science; Plume; Harbour; Spectrometer; Troposphere; Retroreflector; Remote sensing; Atmospheric sciences; Oceanography; Meteorology; Geology; Geography; Optics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009888456,0.0003482075,0.0001950576,0.0005862626,0.0007317599,0.0004707757,0.0003556274,0.0002208509,0.0009115808],"category_scores_gemma":[0.00009454489,0.0001141138,0.0002173744,0.0005542958,0.0002082624,0.0001968998,0.0002143475,0.0003029324,0.0001801393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006603804,"about_ca_system_score_gemma":0.000625119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1533336,"about_ca_topic_score_gemma":0.2555619,"domain_scores_codex":[0.9998921,0.000002793299,0.000002605165,0.00002422153,0.00005219328,0.00002601679],"domain_scores_gemma":[0.9998796,0.000009102387,0.00001495311,0.000004927218,0.000062663,0.00002873705],"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":[0.0005247968,0.0001670023,0.3805971,0.000059875,0.00004838363,0.001485775,0.0007168666,0.001290892,0.5993477,0.0001068177,0.0004811846,0.0151735],"study_design_scores_gemma":[0.00001400762,0.0004064719,0.8476892,0.00001478154,0.00004783176,0.0003670143,0.001441049,0.007444075,0.1394745,0.00003807136,0.003040455,0.00002257767],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984148,0.00001382694,0.0004822442,0.000005210023,0.000003082647,0.000007257883,0.0002315149,0.00001665739,0.0008254587],"genre_scores_gemma":[0.9971968,0.00002825606,0.0007017363,0.00001016525,0.000001750258,0.000006201032,0.000444181,0.00001002024,0.00160082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1533336,"threshold_uncertainty_score":0.3048821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01763654529844629,"score_gpt":0.2319951981116092,"score_spread":0.2143586528131629,"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."}}