{"id":"W7104727586","doi":"10.5683/sp3/uqzlfh","title":"The synergy between particles and biofilms that drives drinking water discolouration processes in PVC pipes","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Biofilm; Fluorescence microscope; Image processing; Microscopy; Optical microscope; Microscope; Iron oxide","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":[0.001708359,0.002133799,0.002238532,0.003382462,0.001385476,0.002395299,0.002519334,0.002671172,0.009195223],"category_scores_gemma":[0.003445406,0.000755434,0.001908083,0.002999107,0.0005740747,0.001102759,0.002268736,0.001655233,0.01521392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622757,"about_ca_system_score_gemma":0.001770414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02712144,"about_ca_topic_score_gemma":0.05322208,"domain_scores_codex":[0.9985029,0.0001567262,0.0001175082,0.0006185063,0.0003091729,0.0002953115],"domain_scores_gemma":[0.9984527,0.0004312445,0.0002597209,0.0002851513,0.0003698136,0.0002013847],"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":[0.0009437908,0.0003732007,0.04746442,0.004457969,0.000562902,0.0004080507,0.0003897738,0.004697166,0.01700731,0.001545896,0.8859046,0.03624485],"study_design_scores_gemma":[0.0005314687,0.0003362884,0.1817386,0.001070834,0.0006466573,0.001098987,0.001025844,0.0182254,0.01869932,0.005688859,0.770529,0.0004087912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01133588,0.0005644117,0.000798855,0.0002481262,0.0000891514,0.00003859812,0.9840505,0.001623648,0.001250884],"genre_scores_gemma":[0.009575368,0.0001423323,0.001699575,0.00006801893,0.00001461204,0.0001283484,0.9874205,0.0001489322,0.0008022413],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02712144,"threshold_uncertainty_score":0.05392712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965432715697044,"score_gpt":0.2688115596031609,"score_spread":0.2491572324461905,"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."}}