{"id":"W4246045242","doi":"10.1515/iupac.88.1137","title":"Oligospermia","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); Computer science; Linguistics; Philosophy; Data mining","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":[0.001016557,0.0009920804,0.001090265,0.003129766,0.0006469338,0.001595263,0.001332503,0.0009756344,0.06969371],"category_scores_gemma":[0.007943148,0.0004122521,0.00142987,0.004315741,0.000317504,0.001113351,0.00147194,0.001156593,0.03120396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009747559,"about_ca_system_score_gemma":0.002162228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01524948,"about_ca_topic_score_gemma":0.03255458,"domain_scores_codex":[0.9988949,0.0001691315,0.00033806,0.0003047615,0.0001801326,0.0001130861],"domain_scores_gemma":[0.9971954,0.0008460128,0.0006522329,0.000563579,0.0005909231,0.0001517823],"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":[0.000488553,0.00003402757,0.008369188,0.006202998,0.0001676564,0.0001641482,0.00006494185,0.0002184148,0.0003986606,0.001169378,0.9561288,0.02659331],"study_design_scores_gemma":[0.0002998965,0.00003744399,0.02562638,0.002777708,0.0001404811,0.0004894147,0.000130001,0.0001522609,0.0004009824,0.001717197,0.9681827,0.000045569],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004641951,0.0005066178,0.0001236685,0.000114547,0.00005239215,0.00006135102,0.996501,0.0001362186,0.002040087],"genre_scores_gemma":[0.001549331,0.0007526305,0.0006294481,0.0003235778,0.00002416879,0.0002715263,0.9944223,0.00005683916,0.00197015],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06969371,"threshold_uncertainty_score":0.2331487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01161582322095188,"score_gpt":0.4589966968719292,"score_spread":0.4473808736509773,"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."}}