{"id":"W4252348969","doi":"10.1016/s0958-2118(11)70176-8","title":"Purifics' Photo-Cat cleans up contaminated groundwater","year":2011,"lang":"en","type":"article","venue":"Membrane Technology","topic":"Environmental and Industrial Safety","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Groundwater; Contaminated groundwater; Contamination; Waste management; Environmental science; Groundwater contamination; Beryllium; Contaminated water; Environmental engineering; Engineering; Environmental chemistry; Aquifer; Chemistry; Environmental remediation; Biology; Ecology; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002555584,0.0002305296,0.0003083198,0.0007143717,0.0007051384,0.0005269834,0.0004576288,0.0003122634,0.008394568],"category_scores_gemma":[0.0003177013,0.0001410182,0.0002192402,0.0004793007,0.0001971258,0.000279022,0.0005018249,0.0004357554,0.001912339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006814246,"about_ca_system_score_gemma":0.001237901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01973866,"about_ca_topic_score_gemma":0.05572452,"domain_scores_codex":[0.9995592,0.0000241695,0.00001043641,0.00003844954,0.0003118617,0.00005580941],"domain_scores_gemma":[0.9998721,0.00001568515,0.00001087783,0.00001515157,0.0000677767,0.00001844219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002101076,0.000119327,0.003446676,0.0004459398,0.00002003709,0.0004096108,0.0001718768,0.00111178,0.7879877,0.001984007,0.02193192,0.1821611],"study_design_scores_gemma":[0.00004814345,0.0003565464,0.009462133,0.000038339,0.00003613489,0.0006034656,0.0002039507,0.003412375,0.8766025,0.000358952,0.1088474,0.00003006842],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.8011636,0.002827853,0.1010204,0.001673308,0.0002948157,0.001013721,0.004503077,0.006998375,0.08050492],"genre_scores_gemma":[0.8359204,0.002312707,0.07465608,0.0008121198,0.00003754641,0.0002002276,0.002947111,0.0003647396,0.08274899],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01973866,"threshold_uncertainty_score":0.03924757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088503814047613,"score_gpt":0.1942663537526948,"score_spread":0.1733813156122187,"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."}}