{"id":"W4247023089","doi":"10.1515/iupac.88.0441","title":"Amniote","year":2017,"lang":"it","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; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001329716,0.001298733,0.001116371,0.003584064,0.0009030965,0.00264853,0.00205712,0.001386796,0.1190721],"category_scores_gemma":[0.009436508,0.0006097767,0.001627286,0.004630551,0.0003977864,0.002029071,0.002655989,0.001675096,0.138735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001126059,"about_ca_system_score_gemma":0.002312099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01448534,"about_ca_topic_score_gemma":0.02620161,"domain_scores_codex":[0.9984531,0.0002770784,0.0003000464,0.0004784888,0.0003272746,0.0001639462],"domain_scores_gemma":[0.9968508,0.0008679371,0.0005149901,0.0008339399,0.0007149118,0.0002174168],"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":[0.0002036648,0.00002130908,0.002253245,0.001919477,0.00005425721,0.00004348399,0.00004907371,0.0001997661,0.0002403741,0.001012085,0.9818138,0.01218956],"study_design_scores_gemma":[0.0001102565,0.00001857047,0.004027366,0.0006213675,0.00003323317,0.00007137141,0.00007196391,0.0001399594,0.0002262081,0.000969547,0.9936905,0.00001958438],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002508296,0.0002572504,0.0001678884,0.0001422892,0.00007368014,0.0000342568,0.9958396,0.0005453753,0.002688954],"genre_scores_gemma":[0.0007634251,0.0002956999,0.0005618667,0.0002397308,0.00002591689,0.000197535,0.9953283,0.0001516315,0.002435943],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1190721,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01365326948023247,"score_gpt":0.4626079461656295,"score_spread":0.448954676685397,"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."}}