{"id":"W4232868140","doi":"10.1515/iupac.81.0298","title":"Edaphic","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Edaphic; Ecology; Computer science; Biology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009713901,0.002009521,0.00127153,0.004561727,0.001121882,0.003626984,0.002634558,0.001771085,0.1201434],"category_scores_gemma":[0.00694593,0.0006596146,0.001313203,0.007875425,0.0004341587,0.002813896,0.002996763,0.002151852,0.1990184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001768671,"about_ca_system_score_gemma":0.002929965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02462393,"about_ca_topic_score_gemma":0.05552163,"domain_scores_codex":[0.9985955,0.0002343171,0.0001905167,0.0004282098,0.0003431744,0.0002082113],"domain_scores_gemma":[0.997484,0.0005517404,0.0002629985,0.0006452242,0.0008138737,0.0002422542],"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":[0.00003854638,0.000011676,0.0007582533,0.0005859084,0.00001306845,0.00001458253,0.00002640389,0.0001456462,0.00006860583,0.0008122881,0.9944124,0.003112707],"study_design_scores_gemma":[0.00005791784,0.000007676611,0.001743641,0.000300785,0.000009971501,0.000036878,0.00007199144,0.0001609959,0.0001268963,0.001021782,0.9964473,0.00001423551],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008077393,0.00007923543,0.00006440737,0.00008949671,0.00002855651,0.00000927059,0.9978866,0.0002947726,0.00146699],"genre_scores_gemma":[0.0002176811,0.00008446809,0.0002529734,0.00006718257,0.000007211237,0.0000421063,0.9981463,0.00007958294,0.001102591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8798566,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01716789012099334,"score_gpt":0.4238773581909026,"score_spread":0.4067094680699093,"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."}}