{"id":"W4244379108","doi":"10.1515/iupac.88.1277","title":"Recombination, Genetic","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Philosophy of biology; Computer science; Biology; Epistemology; 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":[0.001622684,0.00123997,0.001242884,0.003917703,0.001154488,0.003970467,0.002167578,0.001460902,0.1974713],"category_scores_gemma":[0.02089928,0.00054644,0.00143549,0.01011967,0.0005935393,0.003364553,0.002109586,0.00196909,0.1352263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001092316,"about_ca_system_score_gemma":0.003278633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01357666,"about_ca_topic_score_gemma":0.01967046,"domain_scores_codex":[0.997558,0.000407579,0.0004854372,0.0008605347,0.0004910859,0.0001973615],"domain_scores_gemma":[0.9941198,0.002259489,0.0007105035,0.001541613,0.001106536,0.0002622455],"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":[0.000132877,0.00001723334,0.003203625,0.002567527,0.00007692428,0.00004859027,0.00006377508,0.000209799,0.0001277722,0.002626203,0.9620738,0.02885199],"study_design_scores_gemma":[0.0000784819,0.00001195428,0.003863987,0.0008917697,0.00005692635,0.0001194964,0.00008307979,0.0001186358,0.00009532924,0.003504324,0.991154,0.00002203462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003325982,0.0009344049,0.0007733981,0.0003567216,0.0001762986,0.00005793514,0.9873756,0.0006001573,0.009392872],"genre_scores_gemma":[0.00221022,0.001516638,0.001920061,0.0006705689,0.00006623708,0.0003225111,0.9863313,0.000358029,0.006604363],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1974713,"threshold_uncertainty_score":0.6606073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01075177465767642,"score_gpt":0.4463156111489665,"score_spread":0.43556383649129,"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."}}