{"id":"W4242181260","doi":"10.1515/iupac.81.0085","title":"Autotrophic Succession","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Computer science; Biology; Data mining; Linguistics; Philosophy","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":[0.0006149591,0.00142597,0.001096155,0.003262563,0.0009899229,0.00231038,0.001898535,0.0009351154,0.05168545],"category_scores_gemma":[0.003140305,0.0004793806,0.001353699,0.004934997,0.0003457521,0.001560821,0.001862682,0.001459162,0.05528234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001232313,"about_ca_system_score_gemma":0.001611838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03771624,"about_ca_topic_score_gemma":0.07302759,"domain_scores_codex":[0.9992837,0.00009123439,0.0000863313,0.0002404685,0.0001459502,0.0001522825],"domain_scores_gemma":[0.9989107,0.000188129,0.0001519073,0.0002646,0.0003454523,0.0001391633],"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":[0.0001890106,0.00004251667,0.0132141,0.001534538,0.0001078255,0.00009864702,0.0001039715,0.0006613132,0.0003841018,0.002261064,0.9719456,0.009457393],"study_design_scores_gemma":[0.0001103971,0.00001284836,0.01648641,0.0004503427,0.00003789978,0.0001351706,0.0002566604,0.0004691042,0.0002673409,0.001541197,0.9802055,0.00002700971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001160212,0.0002479743,0.0001192779,0.00007399937,0.00005012456,0.00001400697,0.9951421,0.0002184021,0.002973997],"genre_scores_gemma":[0.002438078,0.0001834386,0.000418936,0.00006981801,0.00001151008,0.0000444384,0.9950662,0.00006036773,0.001707146],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05168545,"threshold_uncertainty_score":0.1729051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009250494993925728,"score_gpt":0.3572678410920636,"score_spread":0.3480173460981379,"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."}}