{"id":"W2004499523","doi":"10.1007/s11157-014-9351-5","title":"Recent advances and developments in monitoring biological agents in water samples","year":2014,"lang":"en","type":"article","venue":"Reviews in Environmental Science and Bio/Technology","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada","keywords":"Biochemical engineering; Computer science; Risk analysis (engineering); Process (computing); Engineering; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002200094,0.001141162,0.0009868748,0.001566825,0.000343906,0.001337042,0.001244612,0.001074026,0.00222261],"category_scores_gemma":[0.001984203,0.0004990104,0.0006755982,0.002239208,0.0008299684,0.002042166,0.0009665112,0.001204166,0.001570365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004258876,"about_ca_system_score_gemma":0.0007568388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005896231,"about_ca_topic_score_gemma":0.0009174293,"domain_scores_codex":[0.9987735,0.0002085153,0.0001112348,0.0003642562,0.0004648181,0.00007770194],"domain_scores_gemma":[0.9977491,0.001052043,0.0003045722,0.0001254767,0.0006692389,0.00009939065],"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":[0.0002804993,0.0002285721,0.00251296,0.01143682,0.0001244585,0.0002078705,0.0001696642,0.0007083304,0.1838736,0.002345781,0.00300086,0.7951106],"study_design_scores_gemma":[0.00003429976,0.001292263,0.01209258,0.001624417,0.0009356602,0.003728558,0.0006876736,0.003862318,0.4253801,0.004842011,0.5453312,0.0001889441],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01325996,0.9420526,0.03592461,0.001055178,0.0007819298,0.00007238302,0.0001514066,0.0001339016,0.006568097],"genre_scores_gemma":[0.04268873,0.9115964,0.03760212,0.0008405586,0.001706997,0.00009948858,0.0002608801,0.00003680762,0.005167983],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00222261,"threshold_uncertainty_score":0.01163536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02893662542102919,"score_gpt":0.2541277181434154,"score_spread":0.2251910927223862,"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."}}