{"id":"W4230443198","doi":"10.1515/iupac.80.0185","title":"Supersaturation","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":"Western University","funders":"","keywords":"Terminology; Glossary; Confusion; Solubility; Chemical nomenclature; Supersaturation; Nomenclature; Diversity (politics); Order (exchange); Chemistry; Epistemology; Philosophy; Sociology; Organic chemistry; Linguistics; Psychology; Anthropology; Taxonomy (biology); Ecology; Biology","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":[0.0007395934,0.001923393,0.001352028,0.004029859,0.0007759809,0.002118828,0.002517082,0.001597868,0.04574934],"category_scores_gemma":[0.004782273,0.0005098627,0.001963646,0.005340051,0.000327431,0.002135752,0.001693029,0.0017123,0.0555911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518228,"about_ca_system_score_gemma":0.002266311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02722799,"about_ca_topic_score_gemma":0.06470837,"domain_scores_codex":[0.9989551,0.00009991922,0.0001560111,0.0003923909,0.0002599398,0.0001366135],"domain_scores_gemma":[0.9983243,0.0003853134,0.0002402901,0.0003848481,0.0005470694,0.000118072],"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":[0.000188757,0.00004539943,0.006495591,0.002301596,0.0001332044,0.00005928892,0.00006230312,0.0007999746,0.0005262131,0.001452969,0.9765104,0.01142431],"study_design_scores_gemma":[0.0001679807,0.00002606672,0.01031711,0.0004747347,0.00006607494,0.0001105697,0.0001019672,0.0007974876,0.0007156531,0.00237611,0.9848021,0.0000441184],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002886583,0.0001291157,0.00009374366,0.0000480229,0.00002555997,0.00001215597,0.9983475,0.0002880341,0.0007670748],"genre_scores_gemma":[0.0006704066,0.0001099428,0.0004205508,0.00004489712,0.000008081316,0.00004483414,0.9980813,0.00004689995,0.0005730582],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04574934,"threshold_uncertainty_score":0.1530468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01202621149251044,"score_gpt":0.3865277990643041,"score_spread":0.3745015875717937,"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."}}