{"id":"W4232937943","doi":"10.1515/iupac.78.0364","title":"Immobilization","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; Chemical nomenclature; Relation (database); Pesticide; Computer science; Management science; Environmental chemistry; Chemistry; Engineering; Ecology; Biology; 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":[0.001445198,0.001779298,0.001332202,0.004890081,0.0009947674,0.003057782,0.002709947,0.002044676,0.1617374],"category_scores_gemma":[0.01096475,0.0005575189,0.00151166,0.008155162,0.0004458115,0.002722894,0.002166478,0.001837878,0.1661482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002043272,"about_ca_system_score_gemma":0.003505837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0196786,"about_ca_topic_score_gemma":0.03680256,"domain_scores_codex":[0.9977884,0.0003542867,0.0004332017,0.0007604144,0.0004444197,0.0002192188],"domain_scores_gemma":[0.996267,0.001105463,0.0005022745,0.0007741975,0.001112103,0.0002389674],"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":[0.00006590788,0.00001539474,0.0008763034,0.001232762,0.00002724678,0.00002423,0.00003038914,0.0001487917,0.0001208585,0.0009148632,0.991903,0.00464026],"study_design_scores_gemma":[0.00008577229,0.00000998403,0.001907801,0.0005864468,0.00002175188,0.00004939746,0.00006566669,0.0001182892,0.000153241,0.001133743,0.9958485,0.00001924353],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006526071,0.0001024005,0.00007213555,0.00008094848,0.00002019334,0.00001916229,0.9984772,0.0001624594,0.001000315],"genre_scores_gemma":[0.0002285994,0.0001028677,0.0002686133,0.0001123589,0.0000070462,0.000128017,0.9981952,0.00005235754,0.0009048873],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1617374,"threshold_uncertainty_score":0.5410655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01059816092040848,"score_gpt":0.3481278799615897,"score_spread":0.3375297190411812,"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."}}