{"id":"W4211244848","doi":"10.1002/9781119132318.ch1b","title":"Sampling Techniques","year":2017,"lang":"en","type":"other","venue":"","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut universitaire de cardiologie et de pneumologie de Québec","funders":"","keywords":"Sampling (signal processing); Bioaerosol; Aerosol; Indoor bioaerosol; Environmental science; Computer science; Meteorology; Geography; Computer vision","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003566689,0.001760667,0.001599738,0.004411208,0.002378222,0.00204918,0.002907951,0.001988085,0.06286848],"category_scores_gemma":[0.004892674,0.0007007289,0.0012139,0.002779227,0.0008706067,0.001405022,0.002361348,0.001925603,0.06604405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008395279,"about_ca_system_score_gemma":0.002257498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002113096,"about_ca_topic_score_gemma":0.003203464,"domain_scores_codex":[0.9923881,0.0008260587,0.0007320366,0.001807905,0.003856396,0.0003894508],"domain_scores_gemma":[0.9973114,0.0003484618,0.000203745,0.0006326971,0.001326276,0.0001774434],"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":[0.001141857,0.0007976295,0.007010901,0.003882069,0.0001351767,0.001071098,0.0009662547,0.001818018,0.2928615,0.01301533,0.1337701,0.5435301],"study_design_scores_gemma":[0.0001326968,0.0006529501,0.006688447,0.0006785484,0.0001259952,0.001291504,0.0002961703,0.002104382,0.08935058,0.002821796,0.8957574,0.00009945168],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.03922969,0.0128321,0.6282632,0.001454359,0.004382285,0.0362708,0.03787578,0.01370117,0.2259906],"genre_scores_gemma":[0.07175466,0.01512962,0.5690071,0.003258152,0.001733673,0.03683875,0.04375568,0.003174285,0.255348],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06286848,"threshold_uncertainty_score":0.210316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02280324370239335,"score_gpt":0.2805395856716501,"score_spread":0.2577363419692568,"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."}}