{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002796097,0.0002336872,0.0002296188,0.00006690494,0.00009063257,0.00004689819,0.0002539117,0.0002279305,0.06632015],"category_scores_gemma":[0.0001692856,0.0001709027,0.00008088849,0.000127207,0.000120582,0.0001829258,0.0001024743,0.0001810256,0.00005127619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004004993,"about_ca_system_score_gemma":0.00006295471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002114465,"about_ca_topic_score_gemma":0.001539679,"domain_scores_codex":[0.9982526,0.00006807988,0.0003133669,0.0003525411,0.0008115467,0.0002019173],"domain_scores_gemma":[0.9992563,0.00003039645,0.0001384338,0.0004259276,0.00004834197,0.0001005804],"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":[0.00002104719,0.00004823238,0.000009131196,0.000007499155,0.000006871417,0.000004980305,0.00001275367,0.000001625753,0.0004102962,0.000008962293,0.9962241,0.00324451],"study_design_scores_gemma":[0.0002057142,0.00007661372,0.00005457953,0.0000324039,0.00001637815,0.000003900175,0.000005556272,0.000014936,0.0003327283,0.0001666492,0.9988486,0.0002420067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001198964,0.00003416799,0.0005110567,0.0007550929,0.0002287509,0.0002285821,0.9974138,0.0001019068,0.0006068186],"genre_scores_gemma":[0.0000366839,0.0003086901,0.0001524156,0.0007205693,0.0002261144,0.00001923404,0.996141,0.00001535176,0.002379975],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06626888,"threshold_uncertainty_score":0.9345334,"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."}}