{"id":"W4238711450","doi":"10.1515/iupac.81.0629","title":"Net Reproductive Rate","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Birth, Development, and Health","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Philosophy; 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":[0.001287343,0.001617635,0.001829479,0.003590044,0.0005300895,0.002479684,0.00270699,0.001209367,0.0682438],"category_scores_gemma":[0.009248986,0.0005024433,0.001664477,0.005086478,0.0003024288,0.001596048,0.001377858,0.001927353,0.07655238],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001354864,"about_ca_system_score_gemma":0.001239237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01786722,"about_ca_topic_score_gemma":0.02346952,"domain_scores_codex":[0.9988404,0.0001477616,0.0001944242,0.0004512369,0.000258393,0.0001077972],"domain_scores_gemma":[0.9964998,0.001220387,0.0005974284,0.0006769621,0.0008049696,0.0002004999],"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":[0.0001632415,0.00003740938,0.01614378,0.001573275,0.0002172509,0.0000448258,0.00004560367,0.001350596,0.0001797168,0.001365857,0.9655109,0.0133676],"study_design_scores_gemma":[0.0003624085,0.00005523405,0.04498137,0.0007584897,0.0001511511,0.0003503991,0.0001056734,0.001599145,0.0003969041,0.003808379,0.9473405,0.00009036137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000329516,0.0002027852,0.00008239927,0.00004963606,0.00002924099,0.000009347604,0.9982396,0.0001500951,0.000907448],"genre_scores_gemma":[0.001933191,0.0002820384,0.0003804214,0.00009825589,0.0000242786,0.0000863392,0.9956327,0.00006120164,0.001501636],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0682438,"threshold_uncertainty_score":0.2282982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249594257897149,"score_gpt":0.4205041603422641,"score_spread":0.3955447345525492,"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."}}