{"id":"W4236985544","doi":"10.1515/iupac.81.0083","title":"Autogenic Succession","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; Ecology; 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":[0.001450581,0.00211437,0.001362015,0.00392743,0.001517305,0.003463313,0.003258868,0.001787999,0.07711351],"category_scores_gemma":[0.008263446,0.0007458651,0.001888967,0.005303663,0.0006402606,0.002670488,0.002862247,0.002564405,0.1211931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002018084,"about_ca_system_score_gemma":0.003303699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132382,"about_ca_topic_score_gemma":0.04858463,"domain_scores_codex":[0.9980779,0.0003179368,0.0002182242,0.000669595,0.0004131165,0.0003033048],"domain_scores_gemma":[0.9968336,0.000731872,0.0002562504,0.000975113,0.0008651509,0.0003381335],"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":[0.0001264674,0.00003442959,0.002563895,0.0008451093,0.00003629809,0.00004428987,0.00004669153,0.0003093844,0.0001526205,0.00167878,0.9896097,0.00455241],"study_design_scores_gemma":[0.000135946,0.0000171807,0.003494177,0.0003778526,0.0000214447,0.0001085128,0.0001136024,0.0004369009,0.0002884494,0.0018666,0.9931169,0.00002239144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003522378,0.0001670309,0.0001417767,0.0001019573,0.00006124317,0.0000204492,0.9965371,0.0005467,0.002071611],"genre_scores_gemma":[0.0005168593,0.00008795784,0.0003614638,0.00006673668,0.000008141162,0.00004965151,0.997981,0.00007803022,0.0008501107],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07711351,"threshold_uncertainty_score":0.2579704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314174951737034,"score_gpt":0.395938357327949,"score_spread":0.3827966078105787,"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."}}