{"id":"W3013615495","doi":"","title":"Determination of Volatile Organic Compounds in Snow and Air in Alert, Nunavut","year":2006,"lang":"en","type":"article","venue":"AGUFM","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Snow; Environmental science; Waste management; Meteorology; Geography; Engineering","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":[0.000162536,0.0002294623,0.0002098097,0.0006512509,0.00213741,0.0005829823,0.0005106382,0.0002689525,0.0006437531],"category_scores_gemma":[0.0003270672,0.0001903678,0.0001128439,0.0004336119,0.0004083739,0.0001754168,0.0002769368,0.0002847793,0.0001581657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002388743,"about_ca_system_score_gemma":0.002222243,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.824048,"about_ca_topic_score_gemma":0.9388615,"domain_scores_codex":[0.9998823,0.000009877992,0.000006048289,0.00003110836,0.00004177365,0.00002889145],"domain_scores_gemma":[0.999793,0.00002596273,0.0000127779,0.000004395251,0.0001268156,0.00003708775],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001180603,0.0002921327,0.8178974,0.00007641386,0.0000602492,0.0009792828,0.005491393,0.001699841,0.1495595,0.0002968685,0.001075016,0.02139134],"study_design_scores_gemma":[0.0000177359,0.0001792847,0.9721434,0.00002289499,0.0000262843,0.000162588,0.004721567,0.004092962,0.01631967,0.0001379728,0.002156956,0.00001868978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980972,0.00005933176,0.0001928894,0.00002382247,0.000008430439,0.00001625909,0.0003642112,0.00001069264,0.001227133],"genre_scores_gemma":[0.9963341,0.00006639033,0.0008595629,0.00004382713,0.000002831337,0.00001604593,0.0005052394,0.000006692588,0.002165351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.175952,"threshold_uncertainty_score":0.3539764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004505175182280214,"score_gpt":0.1946988397521046,"score_spread":0.1901936645698244,"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."}}