{"id":"W4237786825","doi":"10.1515/iupac.79.1599","title":"Meiosis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Biomedical Research and Pathophysiology","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Biology; 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":[0.001514047,0.001866872,0.001379694,0.003066029,0.0009952855,0.003557179,0.002695921,0.001660831,0.1694007],"category_scores_gemma":[0.01096016,0.000545967,0.002073872,0.004474892,0.0003740581,0.002460754,0.002053531,0.001710887,0.2235989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001521932,"about_ca_system_score_gemma":0.002747442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01408867,"about_ca_topic_score_gemma":0.026813,"domain_scores_codex":[0.9976603,0.0003922601,0.0003641472,0.000895392,0.0004409344,0.0002469369],"domain_scores_gemma":[0.996112,0.0008903732,0.0003374599,0.001146151,0.001228085,0.0002858895],"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":[0.000127682,0.00002138592,0.001509983,0.0006950495,0.00004294255,0.00002043993,0.000018885,0.0001568148,0.00008152693,0.0007383451,0.9882247,0.008362242],"study_design_scores_gemma":[0.0001521008,0.00002017178,0.003122678,0.0003913539,0.00003858908,0.00007878301,0.00006630792,0.0002474993,0.0002069779,0.001593758,0.9940585,0.00002324459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001694069,0.0001484573,0.0001740583,0.0001250138,0.00006951903,0.00003579287,0.9963302,0.0004598351,0.002487837],"genre_scores_gemma":[0.0004598639,0.0001052368,0.0004349526,0.000181278,0.00001800716,0.0001181751,0.9968128,0.00009843241,0.001771382],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1694007,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02435102930033458,"score_gpt":0.4681255523724061,"score_spread":0.4437745230720715,"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."}}