{"id":"W3013985533","doi":"10.5006/c2002-02149","title":"Passive Monitoring of Atmospheric Corrosives and Pollutants at Three CF Bases","year":2002,"lang":"en","type":"article","venue":"","topic":"Smart Materials for Construction","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Military College of Canada","funders":"","keywords":"Pollutant; Environmental science; Remote sensing; Geology; Chemistry","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":[],"category_scores_codex":[0.00002204583,0.00007230011,0.00009037241,0.00000299631,0.00006874072,0.00001002718,0.00005435503,0.00002807921,0.008862377],"category_scores_gemma":[0.00001614582,0.00006131676,0.00001703249,0.00007305402,0.0001686132,0.0001464369,0.0001233769,0.00001712342,0.0001807742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005490053,"about_ca_system_score_gemma":6.840071e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002380803,"about_ca_topic_score_gemma":0.000103009,"domain_scores_codex":[0.9994903,0.0000109515,0.0001130851,0.0001448239,0.0001239474,0.0001168544],"domain_scores_gemma":[0.9997642,0.00002315463,0.00005929069,0.0001075153,0.00000270613,0.00004310641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000005626532,0.000009143312,0.8830624,0.000002805294,0.000002667788,0.000001511208,0.00006674282,0.00003008546,0.107462,0.000009495846,0.0001332438,0.009214316],"study_design_scores_gemma":[0.0001450319,0.00003820937,0.9108126,0.000008279274,0.000006527737,0.00002049912,0.00007412401,0.0005482716,0.08801875,0.0000893665,0.0001599343,0.00007840526],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973967,0.00004447163,0.00007554561,0.00004171528,0.0003170929,0.0000764523,0.000005626001,0.00002218939,0.002020172],"genre_scores_gemma":[0.9965945,0.00004155548,0.002939183,0.00001097255,0.00002914684,0.000003480733,1.472575e-7,0.000006238387,0.0003747686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02775026,"threshold_uncertainty_score":0.9920437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242496756309759,"score_gpt":0.1937893314521594,"score_spread":0.1813643638890618,"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."}}