{"id":"W4244100773","doi":"10.1515/iupac.88.0849","title":"Genomics","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Genetically Modified Organisms Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Data science; Computer science; Linguistics; Data mining; Philosophy","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":[0.001545094,0.001695041,0.001423749,0.004430067,0.001098092,0.003163798,0.002580072,0.002013461,0.1225914],"category_scores_gemma":[0.01094915,0.0007070313,0.001643601,0.007334237,0.0003990196,0.002552268,0.00273201,0.001989716,0.131456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155831,"about_ca_system_score_gemma":0.003184202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0176306,"about_ca_topic_score_gemma":0.03601244,"domain_scores_codex":[0.9982469,0.0003419541,0.0003086539,0.0005879582,0.000324617,0.0001898899],"domain_scores_gemma":[0.9963285,0.001182898,0.0004136852,0.0008745113,0.0009514506,0.0002489575],"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":[0.0001316874,0.00001895304,0.001740045,0.002540705,0.0000650408,0.00005349213,0.00007140093,0.0002626717,0.0003183127,0.001917711,0.981632,0.01124797],"study_design_scores_gemma":[0.00007591095,0.00001092268,0.002858205,0.0006093096,0.0000325645,0.00007342884,0.00006468273,0.0001156746,0.0001743661,0.001705787,0.9942592,0.00001989876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001207301,0.0002399788,0.0002305926,0.0001386022,0.00003325717,0.00002254313,0.9964862,0.0003684248,0.002359749],"genre_scores_gemma":[0.0003337198,0.0002127052,0.0006605581,0.0001675843,0.000008080261,0.0000911401,0.997424,0.00009434147,0.001007953],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1225914,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0358031053311301,"score_gpt":0.408252198870369,"score_spread":0.3724490935392389,"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."}}