{"id":"W1571059734","doi":"10.1002/0471473332.ch37","title":"Data Acquisition Systems for Ambient Air Monitoring","year":2004,"lang":"en","type":"other","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Alberta Environment and Protected Areas","funders":"","keywords":"Environmental science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002866046,0.0001960024,0.0001939489,0.0000375515,0.00009141477,0.00003682145,0.0004902167,0.000188125,0.0006479912],"category_scores_gemma":[0.00001855227,0.0001779315,0.00004069774,0.00007143595,0.00005184902,0.00009194075,0.0003569201,0.00009294491,0.0005262643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002601307,"about_ca_system_score_gemma":0.000009157961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003214855,"about_ca_topic_score_gemma":0.00002607718,"domain_scores_codex":[0.9986874,0.00002048036,0.0001990882,0.0005192295,0.0002936292,0.0002801454],"domain_scores_gemma":[0.9989991,0.00002894927,0.00015295,0.0007357429,0.000003107008,0.00008011417],"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":[0.000009428518,0.00008941779,0.003338692,0.0003447278,0.00005738715,0.000005005568,0.00009329348,0.003406164,0.0002006472,0.0001646665,0.9854287,0.006861899],"study_design_scores_gemma":[0.0002615532,0.00004747159,0.0004897459,0.0005961871,0.00003543797,0.000004106103,0.0001538776,0.001148785,0.0001415117,0.00004244741,0.9967104,0.0003685248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006021679,0.001248586,0.06804954,0.0001356393,0.008593366,0.001878034,0.0009110672,0.001231869,0.9173498],"genre_scores_gemma":[0.01547341,0.00007627504,0.00967884,0.00002321042,0.003377479,0.00008981525,0.0003618873,0.0003962255,0.9705229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0583707,"threshold_uncertainty_score":0.7255835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06755120500521991,"score_gpt":0.3045762392388416,"score_spread":0.2370250342336217,"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."}}