{"id":"W7077878973","doi":"10.17632/nmk5yx49m4.3","title":"Cartridge for the Retention of All Pathogens","year":2025,"lang":"en","type":"dataset","venue":"Mendeley Data","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Cartridge; Wastewater","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008628317,0.0001568728,0.000221578,0.00004104627,0.00009449443,0.00005280763,0.005146369,0.000157614,0.00002102857],"category_scores_gemma":[0.0005168504,0.0001122478,0.00007120749,0.0001661965,0.00003610544,0.0001147488,0.002612393,0.0001822512,0.000001882154],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001251443,"about_ca_system_score_gemma":0.0001302167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007872072,"about_ca_topic_score_gemma":0.00003217059,"domain_scores_codex":[0.9986746,0.00004965825,0.0002872853,0.0005725676,0.0001966748,0.0002191894],"domain_scores_gemma":[0.9948748,0.0003141755,0.0002250135,0.004441041,0.0001170611,0.00002785196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003115028,0.00001914913,7.017225e-7,0.0002335325,0.00005834116,0.000002990539,0.000005141442,0.00000922972,0.0000514006,0.0003092751,0.997797,0.001510151],"study_design_scores_gemma":[0.0001198579,0.00001701142,0.000004501237,0.00004666629,0.00009179745,0.000004576056,0.000005966684,0.004711523,0.0001603796,0.000471833,0.9942564,0.0001094501],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[3.099977e-7,0.0003546256,0.030941,0.002087367,0.0005266293,0.0002904152,0.9655972,0.00002003147,0.0001824052],"genre_scores_gemma":[0.00001895252,0.0002648195,0.002104531,0.0001925517,0.00009610543,0.00003638729,0.9965866,8.882588e-7,0.0006992088],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03098934,"threshold_uncertainty_score":0.9563321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0849131593488143,"score_gpt":0.3012575117434377,"score_spread":0.2163443523946234,"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."}}