{"id":"W3035047025","doi":"10.1002/rem.21646","title":"Vapor intrusion risk evaluation using automated continuous chemical and physical parameter monitoring","year":2020,"lang":"en","type":"article","venue":"Remediation Journal","topic":"Wind and Air Flow Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Geoscience BC","funders":"","keywords":"Environmental science; Intrusion; Advection; Representativeness heuristic; Flux (metallurgy); Sample (material); Computer science; Meteorology; Statistics; Chemistry; Geology; Geography; Mathematics","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":[0.0002661276,0.00007774489,0.000110131,0.00001316104,0.0001703925,0.00004735338,0.0000472081,0.00003181173,0.00007488255],"category_scores_gemma":[0.00045266,0.00006329,0.00003219334,0.0001004976,0.00004459085,0.0002011364,0.0000634435,0.0001736799,0.00002571848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009306514,"about_ca_system_score_gemma":0.000009414458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005482952,"about_ca_topic_score_gemma":1.44882e-7,"domain_scores_codex":[0.9990971,0.00008029246,0.0001572597,0.0001348106,0.0004039237,0.0001265995],"domain_scores_gemma":[0.9996245,0.0000526414,0.0001417806,0.00003561886,0.00002167434,0.0001237985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004307434,0.00006430591,0.3823653,0.000006778835,0.00003846948,0.00000914071,0.005235469,0.005500382,0.4418593,0.000001006696,0.001050628,0.1638261],"study_design_scores_gemma":[0.0007249411,0.00006541382,0.12298,0.00001904835,0.00008168156,0.00002409708,0.0002861647,0.8580016,0.01728329,0.0002102823,0.0001880942,0.0001353659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988187,0.00004457071,0.0003935736,0.0004046804,0.0001669191,0.00008179704,0.00000115364,0.00004243788,0.00004619245],"genre_scores_gemma":[0.9970728,0.0000436185,0.001978005,0.00004511389,0.0008497857,0.00000161009,0.000001237177,0.000006296043,0.000001606628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8525012,"threshold_uncertainty_score":0.2580892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02696347940552616,"score_gpt":0.2784140125676856,"score_spread":0.2514505331621594,"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."}}