{"id":"W4245650642","doi":"10.1515/iupac.78.0261","title":"Ecotype","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 Guelph","funders":"","keywords":"Glossary; Ecotype; Relation (database); Pesticide; Computer science; Management science; Ecology; Biology; Engineering; Data mining; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001068385,0.002151134,0.001447066,0.008110671,0.001255211,0.003684291,0.002538391,0.002007079,0.1733955],"category_scores_gemma":[0.008847313,0.0007983791,0.001359931,0.01454677,0.0005580393,0.0044059,0.003094263,0.002196265,0.1935615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00237222,"about_ca_system_score_gemma":0.00341896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03480322,"about_ca_topic_score_gemma":0.06429766,"domain_scores_codex":[0.9982755,0.000239831,0.0003583397,0.0005538175,0.0003645757,0.0002079065],"domain_scores_gemma":[0.9956315,0.001313249,0.0005469224,0.0009171314,0.001294137,0.0002971241],"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":[0.00003530029,0.000008173517,0.0007242499,0.0009903163,0.00001586058,0.00002307815,0.00004438077,0.00009809461,0.0001200446,0.001047258,0.9940136,0.002879545],"study_design_scores_gemma":[0.0000272601,0.000003825455,0.00136117,0.000326442,0.000008068022,0.00003084041,0.00007233545,0.00005161257,0.00007350394,0.0007400805,0.9972913,0.00001376902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004734466,0.00006357556,0.0000606663,0.00005250441,0.00001733561,0.000008603236,0.9985572,0.0001362744,0.001056477],"genre_scores_gemma":[0.0001870084,0.0001008722,0.0002331077,0.00008599255,0.000006424114,0.00006207175,0.9982945,0.00009346429,0.0009364715],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8266045,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630247972879548,"score_gpt":0.423810453018804,"score_spread":0.4075079732900085,"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."}}