{"id":"W4242745446","doi":"10.1515/iupac.81.0498","title":"Iteroparous Species","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Computer science; Biology; Data mining; 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":[0.0006391232,0.001501585,0.001341835,0.003737815,0.001038028,0.001803057,0.0020858,0.001148619,0.04968433],"category_scores_gemma":[0.002869545,0.0005494435,0.001290844,0.004473601,0.0004347552,0.001486369,0.002033125,0.00152632,0.05290643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000799501,"about_ca_system_score_gemma":0.001168307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01849788,"about_ca_topic_score_gemma":0.03998053,"domain_scores_codex":[0.999204,0.00009369586,0.0001008562,0.0002978944,0.0001684044,0.0001351768],"domain_scores_gemma":[0.9990765,0.0002753268,0.0001708407,0.0002132511,0.0001603199,0.0001038148],"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":[0.0002478504,0.00003844953,0.01043628,0.002035332,0.0001296068,0.0001654861,0.0001174189,0.000728577,0.0005948639,0.001523498,0.9680799,0.01590286],"study_design_scores_gemma":[0.0001004419,0.00001711938,0.01321217,0.0004948459,0.00005466458,0.000303672,0.0001814884,0.0003544554,0.0002694339,0.001501175,0.9834775,0.00003301905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001317264,0.0003812176,0.0001756023,0.00007109436,0.00005299331,0.00001786118,0.9951801,0.0002443404,0.002559544],"genre_scores_gemma":[0.001672933,0.0002392414,0.0006623051,0.00009749809,0.00001212657,0.00005876173,0.9957024,0.00005949109,0.001495212],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04968433,"threshold_uncertainty_score":0.1662107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01191146772823322,"score_gpt":0.3433734283877478,"score_spread":0.3314619606595146,"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."}}