{"id":"W4240431450","doi":"10.1515/iupac.81.0319","title":"Endogenous","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental risk assessment; Ecology; Computer science; Risk assessment; Biology; 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":[0.001396688,0.001646199,0.001116366,0.003375441,0.001280852,0.003997642,0.002591748,0.001973683,0.1894265],"category_scores_gemma":[0.01352252,0.0005896515,0.001439066,0.006333839,0.0004725293,0.003192166,0.002792991,0.002125467,0.2486251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00207632,"about_ca_system_score_gemma":0.003194642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02038578,"about_ca_topic_score_gemma":0.03814786,"domain_scores_codex":[0.9974211,0.0004493926,0.000318682,0.0009012081,0.0005756662,0.000333836],"domain_scores_gemma":[0.9950765,0.001193704,0.0004081233,0.001291993,0.001696669,0.0003329779],"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":[0.0000652583,0.00001679665,0.001415267,0.0004812223,0.00001834215,0.00001751414,0.0000341443,0.0001364748,0.00006906746,0.001388745,0.990815,0.005542026],"study_design_scores_gemma":[0.00006447171,0.00001053227,0.002332469,0.0003200629,0.00001413991,0.00005291669,0.0001098432,0.0001842263,0.0001499201,0.001875808,0.9948677,0.00001799857],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002021293,0.0001300303,0.0001660033,0.0002196417,0.00006538061,0.00002417586,0.9955255,0.0002907275,0.003376373],"genre_scores_gemma":[0.0005789865,0.0001139543,0.0004416954,0.0001997084,0.00001398611,0.0001054758,0.9958562,0.00008539391,0.002604495],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1894265,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03068790535638698,"score_gpt":0.4038502925070908,"score_spread":0.3731623871507038,"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."}}