{"id":"W4251077832","doi":"10.1515/iupac.78.0173","title":"Biocontrol","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Glossary; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004418517,0.0005075359,0.0007735749,0.00002726516,0.0001888053,0.0001033959,0.0008995353,0.0006799687,0.01987687],"category_scores_gemma":[0.00108606,0.0001310622,0.0003868174,0.0001977975,0.0002692128,0.00007623597,0.0002355759,0.0004412851,0.00001874557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850985,"about_ca_system_score_gemma":0.00006812497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001935163,"about_ca_topic_score_gemma":0.004113453,"domain_scores_codex":[0.997263,0.0001575175,0.0004867509,0.000664917,0.0008027366,0.0006251137],"domain_scores_gemma":[0.998218,0.000515289,0.0003291036,0.0002139319,0.0004936157,0.0002300767],"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":[0.0001345395,0.0001145006,0.00001279528,0.000009552265,0.00005682175,0.00003104181,4.055452e-7,2.659255e-8,0.003152982,0.00001916164,0.9528704,0.04359772],"study_design_scores_gemma":[0.0004331105,0.0006588125,0.001103645,0.0001024901,0.0000495655,0.000007441985,0.00001143461,2.224294e-7,0.00005582462,0.0003605679,0.9967405,0.0004764541],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008434327,0.00129262,0.000002003554,0.00699681,0.0004876721,0.0003926872,0.9897702,0.000115478,0.00009908646],"genre_scores_gemma":[0.000364873,0.0008697871,0.000006247536,0.001689247,0.003077181,0.00002779977,0.993544,0.00000177415,0.0004190572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04386997,"threshold_uncertainty_score":0.9810191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01930540141680946,"score_gpt":0.3388915635361812,"score_spread":0.3195861621193717,"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."}}