{"id":"W4231222344","doi":"10.1515/iupac.79.2037","title":"Specific Pathogen Free (SPF)","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Hazard; Computer science; Toxicology; Chemistry; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003746069,0.001656372,0.002289625,0.003500593,0.001001045,0.003608759,0.003803696,0.002877542,0.1381858],"category_scores_gemma":[0.01858377,0.0007527952,0.00195893,0.005302393,0.0007280813,0.002251363,0.002359687,0.002972847,0.1654147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001023909,"about_ca_system_score_gemma":0.003760539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006437285,"about_ca_topic_score_gemma":0.01224788,"domain_scores_codex":[0.9965841,0.000729517,0.0005049719,0.001136552,0.0006890694,0.0003557486],"domain_scores_gemma":[0.9937295,0.002245671,0.0007125757,0.002032076,0.0008914382,0.0003888413],"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":[0.0003226058,0.00005817744,0.001093678,0.002208748,0.00009894788,0.0000394049,0.00002880649,0.0003740229,0.0003820939,0.0007923069,0.9876189,0.006982319],"study_design_scores_gemma":[0.000672408,0.00008549886,0.002475882,0.0007351383,0.000113859,0.0001692303,0.00005047706,0.0004270221,0.0006689851,0.002099788,0.9924563,0.00004540382],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000174364,0.0001953153,0.0002497156,0.00009029742,0.00007517591,0.00005839778,0.9975999,0.0005429906,0.001013724],"genre_scores_gemma":[0.0005627375,0.0001954419,0.0009660809,0.0002814181,0.00002912555,0.0004685186,0.9958476,0.0001706838,0.001478344],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1381858,"threshold_uncertainty_score":0.4622774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01537301172511033,"score_gpt":0.3650619649585409,"score_spread":0.3496889532334305,"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."}}