{"id":"W4248666860","doi":"10.1016/s0958-2118(20)30130-0","title":"H<sub>2</sub>O Innovation and Nanostone Water set to jointly lead a larger commercialisation of ceramic membrane technology","year":2020,"lang":"en","type":"article","venue":"Membrane Technology","topic":"Recycling and Waste Management Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lead (geology); Ceramic; Membrane; Set (abstract data type); Ceramic membrane; Business; Waste management; Materials science; Engineering; Nanotechnology; Environmental science; Metallurgy; Chemistry; Computer science; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003409864,0.0002324456,0.0003959681,0.0006832263,0.0001121773,0.0000182409,0.0003823632,0.0003683954,0.0001153391],"category_scores_gemma":[0.000146633,0.0002031708,0.00003352452,0.001973556,0.0004321157,0.0001427977,0.0006129445,0.0003016194,0.0003078136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006031839,"about_ca_system_score_gemma":0.000005538276,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005066905,"about_ca_topic_score_gemma":0.00003022463,"domain_scores_codex":[0.9982967,0.0000447769,0.0005103141,0.0005362707,0.0002268037,0.0003851351],"domain_scores_gemma":[0.9993494,0.00001971608,0.0001439817,0.0004040363,0.00003623524,0.00004668529],"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":[0.00003615235,0.00004152115,0.003255596,0.00005169522,0.00001715433,0.000006753271,0.0002618019,0.00006645031,0.9564208,0.001426848,0.001345265,0.03706997],"study_design_scores_gemma":[0.0003901118,0.000323441,0.0004425709,0.00002683087,0.00002302998,0.00001264839,0.000186084,0.0003768166,0.9862326,0.002337407,0.009416558,0.0002319119],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596421,0.00002355091,0.002220909,0.03607173,0.00006242161,0.0005819486,0.000009200787,0.0007323874,0.0006557728],"genre_scores_gemma":[0.9967351,0.00007139808,0.001531546,0.001453579,0.00002019472,0.00006718226,0.00004149868,0.00003195971,0.00004752361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03709304,"threshold_uncertainty_score":0.8285064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0166894523653499,"score_gpt":0.2373345048440187,"score_spread":0.2206450524786688,"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."}}