{"id":"W4240063224","doi":"10.1515/iupac.81.0097","title":"Benthic","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; Benthic zone; Ecology; Environmental science; Environmental chemistry; Computer science; Biology; Chemistry; 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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001388289,0.0009137489,0.001111805,0.0006105146,0.0001726012,0.0001182177,0.001214883,0.0008530781,0.02482761],"category_scores_gemma":[0.001673037,0.0006860177,0.0003590005,0.0004323076,0.0003721174,0.0001740073,0.000459515,0.001094925,0.0004687747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001590922,"about_ca_system_score_gemma":0.001994023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001384915,"about_ca_topic_score_gemma":0.002295348,"domain_scores_codex":[0.9939093,0.0002384055,0.0007951659,0.001023202,0.003050662,0.000983287],"domain_scores_gemma":[0.9954711,0.000162655,0.0005998458,0.002337569,0.001016578,0.0004122346],"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":[0.000389136,0.0003095007,0.000005260098,0.0001470031,0.0002309982,0.0001807394,0.000005607778,5.737736e-7,0.00002259082,0.00001296663,0.9973845,0.001311058],"study_design_scores_gemma":[0.00183256,0.0002036487,0.00002150094,0.0008344484,0.0003002562,0.00003504966,0.000008808053,0.000001257577,0.00002329427,0.0002276433,0.9956195,0.0008919725],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002907662,0.001200999,0.00003042528,0.0004571204,0.001478767,0.0004874823,0.9958359,0.0003519546,0.0001282474],"genre_scores_gemma":[0.000005272728,0.0006296796,0.00003621868,0.0002892987,0.002440293,0.00002859332,0.9953757,0.0002703317,0.0009246354],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02435883,"threshold_uncertainty_score":0.9995591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01790309975925315,"score_gpt":0.4210012648527022,"score_spread":0.403098165093449,"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."}}