{"id":"W1990137469","doi":"10.1128/aem.71.12.8548-8557.2005","title":"Waterborne Pathogen Detection by Use of Oligonucleotide-Based Microarrays","year":2005,"lang":"en","type":"article","venue":"Applied and Environmental Microbiology","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":110,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Institut National de la Recherche Scientifique; Université du Québec à Rimouski; Université de Montréal; Biotechnology Research Institute","funders":"Water Research Foundation; Water Environment Research Foundation; U.S. Environmental Protection Agency","keywords":"DNA microarray; Oligonucleotide; Computational biology; Pathogen; Biology; Microarray; Genetics; DNA; Gene; Gene expression","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004944135,0.000174096,0.0001744416,0.00002569688,0.00009804637,0.00001383714,0.00008906254,0.0001196534,0.001517566],"category_scores_gemma":[0.000001242388,0.0001612141,0.00005160796,0.00003882233,0.0003743043,0.000112163,0.0001237936,0.0001085032,0.0003065708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009724221,"about_ca_system_score_gemma":0.000001443514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001554672,"about_ca_topic_score_gemma":0.00005934222,"domain_scores_codex":[0.9991235,0.00002615662,0.0002389689,0.0003330199,0.00002738957,0.0002509511],"domain_scores_gemma":[0.9996462,0.00002558494,0.00009408702,0.0001663304,7.624081e-7,0.00006700714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003441173,0.0001321824,0.0006873196,0.000003033395,0.00001135468,4.81184e-7,0.00006188877,0.0001047331,0.9778827,0.000001952087,0.0006390562,0.0204409],"study_design_scores_gemma":[0.0003615384,0.00006268382,0.00818905,0.000002363474,0.00001855278,0.00002976131,0.00002975691,0.00004711434,0.8283858,0.000003782844,0.1627055,0.0001641398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998466,0.00004528922,0.0005895364,0.0001043281,0.00005185556,0.0001796983,0.0002977417,0.00002071071,0.0002448717],"genre_scores_gemma":[0.997201,0.00005752494,0.001611727,0.000632903,0.00002174962,0.00001400073,0.0002424006,0.00001939424,0.0001993506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1620664,"threshold_uncertainty_score":0.9993952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004321206477531152,"score_gpt":0.159469955811784,"score_spread":0.1551487493342529,"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."}}