{"id":"W4256043779","doi":"10.1515/iupac.81.0395","title":"Fluid Feeder","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Environmental risk assessment; Computer science; Ecology; Risk assessment; Biology; Data mining; Philosophy; Linguistics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001684712,0.0003033946,0.0003217934,0.0001287504,0.00004443853,0.00006587347,0.00032217,0.0001535557,0.0009363818],"category_scores_gemma":[0.00009277887,0.0002414909,0.0001027165,0.000132202,0.00004993785,0.0000890545,0.00008435567,0.0003263832,0.00001289529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000254853,"about_ca_system_score_gemma":0.0001047214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001519932,"about_ca_topic_score_gemma":0.00004617067,"domain_scores_codex":[0.9984068,0.00001128671,0.0002202974,0.0002092637,0.0006425747,0.0005098023],"domain_scores_gemma":[0.9990568,0.0000469528,0.00001848962,0.0005509602,0.0001235319,0.0002032704],"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":[0.000008957078,0.00002952241,3.875217e-7,0.0001688513,0.00009395414,0.00002582687,0.00000359203,0.000530345,0.0005261236,0.000006464352,0.9894316,0.009174359],"study_design_scores_gemma":[0.0002805387,0.00004079088,0.000009694522,0.0001743675,0.00001836562,0.000003224942,0.000002411409,0.0009017469,0.0002475352,0.0006253343,0.997378,0.0003180201],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007727894,0.0008836549,0.0004177828,0.00009901401,0.0005167249,0.0001032247,0.9968724,0.0002713397,0.00006307534],"genre_scores_gemma":[0.001012858,0.001513794,0.0000286272,0.00002534981,0.0008196822,0.00001521567,0.9964774,0.00006834777,0.00003878912],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.008856338,"threshold_uncertainty_score":0.9999769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01029131713410479,"score_gpt":0.3523486394159311,"score_spread":0.3420573222818263,"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."}}