{"id":"W4245141018","doi":"10.1515/iupac.81.0186","title":"Community Stability","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Computer science; Ecology; Data mining; Biology; Philosophy; Linguistics","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":[0.003465388,0.002293105,0.002043409,0.006078441,0.002895418,0.006160566,0.004857051,0.002514797,0.1469043],"category_scores_gemma":[0.0324678,0.0007105512,0.001982957,0.009536047,0.0009283826,0.005323404,0.005382775,0.002951886,0.1842577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002218965,"about_ca_system_score_gemma":0.005099792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02252486,"about_ca_topic_score_gemma":0.04326237,"domain_scores_codex":[0.9930233,0.001113315,0.00077316,0.002707225,0.001597438,0.0007856253],"domain_scores_gemma":[0.9892015,0.002136605,0.0006725459,0.003130722,0.003984629,0.0008740218],"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":[0.0001186539,0.00003409175,0.002556026,0.0005547779,0.00004010578,0.00002776147,0.00008268379,0.0002542042,0.00007357955,0.002227584,0.983967,0.01006345],"study_design_scores_gemma":[0.0001410398,0.0000184088,0.00302909,0.0004560655,0.00002969434,0.00008777367,0.0002486222,0.0007283938,0.0002114901,0.004613748,0.9904046,0.000031139],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007955045,0.0002891319,0.0006231787,0.0004667845,0.0002329652,0.0001225136,0.9877021,0.001435037,0.008332794],"genre_scores_gemma":[0.001906407,0.0001205299,0.001242383,0.0002383204,0.00003956302,0.0003274,0.9918069,0.0002486321,0.004069941],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1469043,"threshold_uncertainty_score":0.4914439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02874049190347739,"score_gpt":0.4049812506125691,"score_spread":0.3762407587090917,"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."}}