{"id":"W4231729261","doi":"10.1515/iupac.88.0152","title":"Adsorption","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Minerals Flotation and Separation Techniques","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; National Research Council Canada","funders":"","keywords":"Computer science; Extraction (chemistry); Process engineering; Sample (material); Chromatography; Chemistry; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003643134,0.0002370385,0.0002667051,0.00005936162,0.0001600254,0.000104062,0.0004571211,0.0002422632,0.04140712],"category_scores_gemma":[0.0002315644,0.0002140406,0.00009170066,0.00005941483,0.0001609035,0.0001796139,0.0001712087,0.0002701239,0.00009000613],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002980468,"about_ca_system_score_gemma":0.00006429615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005343363,"about_ca_topic_score_gemma":0.003339258,"domain_scores_codex":[0.9982898,0.00005313928,0.0002843558,0.0003595045,0.000815383,0.0001978826],"domain_scores_gemma":[0.9987721,0.00001535597,0.000297041,0.0007661105,0.00004300716,0.0001064156],"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":[0.0000183286,0.00007221278,0.0000184174,0.0000115657,0.000006815574,0.000006762318,0.000008316474,0.000006410293,0.0001483313,0.000003018618,0.9974265,0.002273321],"study_design_scores_gemma":[0.0001883789,0.00007947328,0.0002311241,0.00003321395,0.00002300482,0.000004566589,0.000003051551,0.00005496135,0.0001131591,0.0001809259,0.9988402,0.00024793],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002137802,0.00003842728,0.0002077888,0.0002813281,0.0002597884,0.0002309013,0.9977899,0.00008962505,0.0008884131],"genre_scores_gemma":[0.00006391171,0.0003267218,0.0001845944,0.0004342005,0.0002073056,0.00002137786,0.9954685,0.00001520015,0.003278198],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04131712,"threshold_uncertainty_score":0.9594691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874424624369298,"score_gpt":0.4275616109825064,"score_spread":0.4088173647388134,"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."}}