{"id":"W4255161294","doi":"10.1515/iupac.88.0401","title":"Acrosome Reaction","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","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":[0.002044815,0.001960922,0.001845876,0.007259924,0.0008778496,0.003381422,0.002209154,0.001501853,0.0993316],"category_scores_gemma":[0.01101599,0.0007197737,0.001829688,0.008357232,0.00057732,0.002472426,0.002406106,0.002017765,0.08898113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0014077,"about_ca_system_score_gemma":0.002431675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009357035,"about_ca_topic_score_gemma":0.01667676,"domain_scores_codex":[0.9972154,0.000380667,0.0008563667,0.0007501179,0.0005784672,0.0002189738],"domain_scores_gemma":[0.9937865,0.001636574,0.001600601,0.001272626,0.001450006,0.0002536875],"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":[0.0003491133,0.00003381572,0.004710685,0.006712805,0.0001311263,0.00009877254,0.00005993526,0.0003769279,0.001032781,0.001768817,0.9518033,0.03292191],"study_design_scores_gemma":[0.000110436,0.00003076392,0.01133236,0.00114506,0.00007324246,0.0002284061,0.00007004524,0.0001840499,0.0008990767,0.001890561,0.9839839,0.00005216929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005901008,0.001401189,0.0005830777,0.0001629308,0.0001511563,0.0001068275,0.9911911,0.0007439993,0.005069593],"genre_scores_gemma":[0.001676873,0.001256675,0.001724746,0.0002215395,0.0000342416,0.0002992531,0.9911463,0.0001580244,0.003482412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0993316,"threshold_uncertainty_score":0.3322973,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01157570760635094,"score_gpt":0.3803609559384836,"score_spread":0.3687852483321326,"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."}}