{"id":"W4245096662","doi":"10.1515/iupac.78.0425","title":"Model (Conceptual)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Pesticide and Herbicide Environmental Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Management science; Field (mathematics); Data science; Chemistry; Engineering; Data mining; Mathematics; 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":[0.001360618,0.002706378,0.001139269,0.004657116,0.001088544,0.003972647,0.00408155,0.002330959,0.1562018],"category_scores_gemma":[0.01178506,0.0008207576,0.002847155,0.006391481,0.0004818517,0.003889249,0.002363736,0.002630796,0.1370143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003227234,"about_ca_system_score_gemma":0.003862272,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05493381,"about_ca_topic_score_gemma":0.0910551,"domain_scores_codex":[0.9982998,0.0002876245,0.0002705037,0.0006037214,0.0003451747,0.0001933387],"domain_scores_gemma":[0.9954855,0.001682994,0.0003573152,0.001126848,0.00113281,0.0002145418],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007237295,0.00002267371,0.001368957,0.001240432,0.00005013262,0.00003216487,0.00003428062,0.001115053,0.00009588965,0.002309243,0.987597,0.006061739],"study_design_scores_gemma":[0.0001011874,0.00001093585,0.001484238,0.0004372187,0.00002804733,0.00005024072,0.00007367126,0.00100688,0.0001671165,0.003292273,0.9933237,0.00002448353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001031981,0.000110348,0.0002937895,0.0001284756,0.00002523423,0.00002208687,0.996983,0.0007175918,0.00161632],"genre_scores_gemma":[0.0005358698,0.0001251714,0.0008704976,0.0001178902,0.000006516257,0.000110035,0.9970854,0.0001590238,0.0009894706],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1562018,"threshold_uncertainty_score":0.5225471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02296006568372313,"score_gpt":0.3557974217291536,"score_spread":0.3328373560454305,"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."}}