{"id":"W4231199160","doi":"10.1515/iupac.88.0542","title":"Blastulation","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Disaster Response and Management","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Computer science; Linguistics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001153797,0.0003277885,0.0005297465,0.0002240674,0.0008994832,0.00004582516,0.0005902984,0.0004372405,0.007238857],"category_scores_gemma":[0.000813582,0.0002829824,0.0001221333,0.0000638535,0.00007333934,0.0001183421,0.0005430555,0.0008936723,0.0001100666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004116528,"about_ca_system_score_gemma":0.001038434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003889511,"about_ca_topic_score_gemma":0.003840009,"domain_scores_codex":[0.9972419,0.0003553886,0.0005686785,0.0004216612,0.0008876778,0.0005247211],"domain_scores_gemma":[0.9971686,0.0001337018,0.0006504576,0.001538755,0.0003577744,0.0001507405],"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":[0.0002747133,0.0001091663,0.00001955039,0.000485527,0.00008957789,0.0000438936,0.0001360418,0.000001122383,5.13262e-7,0.00003049748,0.9965844,0.00222504],"study_design_scores_gemma":[0.0009250159,0.0001030811,0.0003082039,0.0008125158,0.0001499899,5.82726e-7,0.0003395335,0.00000618462,1.254488e-7,0.0001792916,0.9969071,0.0002683549],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000159742,0.0001508408,0.0001605482,0.0007504451,0.002339625,0.0009398229,0.9927973,0.00007863408,0.002623064],"genre_scores_gemma":[0.00002352678,0.0002969398,0.0000240846,0.001028009,0.001372162,0.0000803755,0.978119,0.00003610327,0.01901984],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01639678,"threshold_uncertainty_score":0.9999622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06220988663356841,"score_gpt":0.5788038493950632,"score_spread":0.5165939627614948,"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."}}