{"id":"W4246231843","doi":"10.1016/s1365-6937(14)70154-6","title":"H2O Innovation Inc, Canada","year":2014,"lang":"en","type":"article","venue":"Filtration Industry Analyst","topic":"Membrane-based Ion Separation Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business","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":[0.0008402466,0.001133598,0.0007932641,0.001804585,0.00221701,0.002803854,0.001541832,0.001320559,0.1672985],"category_scores_gemma":[0.0007452847,0.000682553,0.0006282338,0.001861887,0.0008609782,0.001168205,0.001166628,0.001310501,0.07437263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006551116,"about_ca_system_score_gemma":0.01421235,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4139638,"about_ca_topic_score_gemma":0.5367767,"domain_scores_codex":[0.998662,0.00005590457,0.00003992714,0.0001977173,0.0009334229,0.0001110138],"domain_scores_gemma":[0.9989572,0.00006376895,0.00005008505,0.00007431382,0.0007036789,0.0001509662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000491749,0.0001987147,0.003050942,0.001494659,0.00006896404,0.0006742919,0.0003802667,0.01067869,0.0641443,0.0601116,0.3278118,0.530894],"study_design_scores_gemma":[0.0000383133,0.00004975284,0.0008931762,0.0001144467,0.00002139572,0.0001433511,0.0001201258,0.004252734,0.007065357,0.002015449,0.9852597,0.00002616293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.009774785,0.01747867,0.06379016,0.004200492,0.002053946,0.0006503991,0.01211209,0.004520198,0.8854193],"genre_scores_gemma":[0.03158364,0.00780313,0.02839292,0.000655837,0.00008177929,0.0001910924,0.00581242,0.0004051254,0.925074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5860362,"threshold_uncertainty_score":0.8231085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01126514080458191,"score_gpt":0.2192179599885484,"score_spread":0.2079528191839665,"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."}}