{"id":"W4250103372","doi":"10.1515/iupac.83.0020","title":"Adsorption","year":2016,"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":"Concordia University","funders":"","keywords":"Glossary; Chemical nomenclature; Photocatalysis; Compendium; Terminology; Chemistry; Nanotechnology; Catalysis; Materials science; Organic chemistry; Philosophy; History; Archaeology","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":[0.001014455,0.002345193,0.001849867,0.004660692,0.001041234,0.003522402,0.002727766,0.00149237,0.1107401],"category_scores_gemma":[0.005091517,0.0006449017,0.002291763,0.008402375,0.0003302745,0.002452555,0.001977357,0.001725322,0.1707434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001763753,"about_ca_system_score_gemma":0.002624743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02148937,"about_ca_topic_score_gemma":0.03775237,"domain_scores_codex":[0.9980748,0.0002524463,0.0003120258,0.0006393205,0.000484187,0.0002372479],"domain_scores_gemma":[0.9982986,0.0004010428,0.0001997965,0.0004466308,0.0005431628,0.0001108332],"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":[0.0001931507,0.00005103882,0.00236823,0.003566953,0.0001186327,0.00004175507,0.00003935468,0.0006774041,0.0004730851,0.001363965,0.9739487,0.01715778],"study_design_scores_gemma":[0.0001057343,0.00001970645,0.003763558,0.0004061243,0.00004973908,0.00005913374,0.00004996638,0.0003531399,0.000477624,0.001501271,0.993185,0.00002900535],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002084259,0.0003076979,0.0001331227,0.00006238273,0.00002841329,0.0000222477,0.9960524,0.0005162414,0.002669009],"genre_scores_gemma":[0.0005131019,0.0002489157,0.0004812166,0.00008230059,0.000007765731,0.0000765992,0.9968532,0.00009885144,0.00163814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1107401,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341787161544662,"score_gpt":0.3901031283645143,"score_spread":0.3766852567490677,"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."}}