{"id":"W4234215253","doi":"10.1515/iupac.88.1357","title":"Spermiation","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Sperm and Testicular Function","field":"Medicine","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":[0.001897495,0.00200791,0.001891216,0.005099893,0.001022154,0.003732456,0.003085471,0.002238833,0.1320964],"category_scores_gemma":[0.01421571,0.000728125,0.002289517,0.007132425,0.0005422749,0.002421839,0.00284843,0.002287677,0.1449709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500326,"about_ca_system_score_gemma":0.003729136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01276725,"about_ca_topic_score_gemma":0.02087446,"domain_scores_codex":[0.9973847,0.0003938676,0.0007740858,0.0006906662,0.0005153121,0.000241294],"domain_scores_gemma":[0.9944171,0.001681581,0.0008037182,0.001259884,0.001575438,0.0002622772],"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":[0.0002347014,0.00002157146,0.002335523,0.004989983,0.00008917737,0.000057773,0.00004362773,0.0002856379,0.0002159269,0.001023565,0.9765614,0.01414105],"study_design_scores_gemma":[0.0001832221,0.0000204178,0.004291572,0.001476542,0.00005797562,0.0001146439,0.00005659088,0.0001576706,0.000335104,0.001265527,0.9920075,0.00003329279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001265146,0.0003553337,0.000141568,0.00008652547,0.00006042393,0.00004058706,0.9971787,0.0003950799,0.001615238],"genre_scores_gemma":[0.0005074734,0.0004103307,0.0006200372,0.0001951307,0.0000211566,0.0002093846,0.996332,0.0001020854,0.001602471],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1320964,"threshold_uncertainty_score":0.4419065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182880126962588,"score_gpt":0.4294597895809152,"score_spread":0.4076309883112893,"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."}}