{"id":"W4246465902","doi":"10.1515/iupac.78.0528","title":"Registration","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; Data science; Chemistry; 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":[],"consensus_categories":[],"category_scores_codex":[0.002006777,0.001497666,0.001857035,0.00770395,0.001144794,0.003585466,0.00286591,0.002476982,0.2376427],"category_scores_gemma":[0.01837345,0.0006315326,0.001337136,0.01256155,0.0006305847,0.003608409,0.002237106,0.002410895,0.196034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002640164,"about_ca_system_score_gemma":0.005510225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02259037,"about_ca_topic_score_gemma":0.03886577,"domain_scores_codex":[0.9969913,0.0004777636,0.0008457727,0.0008508193,0.0005271141,0.0003072777],"domain_scores_gemma":[0.9912704,0.002408911,0.001216793,0.001641486,0.002898599,0.0005638946],"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":[0.00006094955,0.00000913151,0.0005226588,0.001330393,0.00001619334,0.00002166487,0.00001864168,0.00006539662,0.00005266184,0.0007623335,0.9942311,0.00290892],"study_design_scores_gemma":[0.0001544172,0.00001245628,0.0019717,0.001023556,0.00002172013,0.00005553737,0.00007800687,0.00008357024,0.00009299235,0.001264399,0.9952202,0.00002136206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004574042,0.0001031124,0.00004224009,0.0001044111,0.00003592711,0.00003324362,0.9982609,0.00007772661,0.001296688],"genre_scores_gemma":[0.0002334107,0.0001630903,0.0002197101,0.0001598878,0.00001866017,0.0002626837,0.9970824,0.00005032283,0.001809779],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2376427,"threshold_uncertainty_score":0.7949939,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304440571332902,"score_gpt":0.3521657865497739,"score_spread":0.3391213808364448,"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."}}