{"id":"W4396580471","doi":"10.4095/g274826","title":"Fugitive dust monitoring and characterization techniques: challenges and opportunities","year":2022,"lang":"en","type":"report","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Characterization (materials science); Environmental science; Astrobiology; Remote sensing; Nanotechnology; Geography; Materials science; Physics","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":[0.0008012269,0.0002411717,0.000271952,0.00006859099,0.000272027,0.00005149029,0.00009486393,0.0001760326,0.0004916078],"category_scores_gemma":[0.00005291959,0.0002383198,0.0000297398,0.00003835856,0.0001710114,0.0002191042,0.0005738466,0.0003308632,0.000003021727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002891211,"about_ca_system_score_gemma":0.00003438189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002319373,"about_ca_topic_score_gemma":0.000003651561,"domain_scores_codex":[0.9984162,0.00007362905,0.0002712015,0.0004494521,0.0005690998,0.000220392],"domain_scores_gemma":[0.9994191,0.00006646433,0.0002178308,0.0001721915,0.00001978816,0.0001046265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000447406,0.00002127561,0.006849806,0.0001698364,0.00002249384,0.00002657647,0.00170953,3.125426e-7,0.0005417001,0.00005513725,0.0001832394,0.9904156],"study_design_scores_gemma":[0.0001166105,0.0002687315,0.2096934,0.0004589765,0.00008617312,0.0002509598,0.008384751,0.0000307297,0.001663454,0.0001341613,0.7779154,0.000996566],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.2205292,0.00639813,0.0001922671,0.001225982,0.002205161,0.0009701099,0.0002217933,0.0008897043,0.7673677],"genre_scores_gemma":[0.3580217,0.5158456,0.002244992,0.0000813337,0.003118859,0.0005594134,0.0004898816,0.0002416772,0.1193965],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.989419,"threshold_uncertainty_score":0.9718401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1686055489287555,"score_gpt":0.306960961178714,"score_spread":0.1383554122499586,"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."}}