{"id":"W4237408090","doi":"10.1515/iupac.88.1132","title":"Odontoblast","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Sinusitis and nasal conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002675598,0.0003658146,0.0007897155,0.0002282719,0.0002805844,0.00009155294,0.0002975148,0.0004297139,0.007103748],"category_scores_gemma":[0.0007386419,0.0003143845,0.0002837499,0.00008263552,0.0001989702,0.00007441272,0.0001284406,0.0007501315,0.00001928459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003120792,"about_ca_system_score_gemma":0.001251995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002640332,"about_ca_topic_score_gemma":0.001901495,"domain_scores_codex":[0.9978664,0.00003001394,0.0003555969,0.0004324839,0.0009604608,0.0003550801],"domain_scores_gemma":[0.9974047,0.00004562752,0.0002703209,0.001405362,0.0005801442,0.0002938346],"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":[0.0002184496,0.0002709407,0.00005916614,0.0001655613,0.0001522129,0.0007594453,0.000003672615,8.072343e-8,0.000008927456,0.000004134815,0.9974297,0.0009276744],"study_design_scores_gemma":[0.001568773,0.0006174624,0.002620077,0.000726399,0.0004226443,0.0002428557,0.00001198769,0.000001880958,0.000006417066,0.00001723158,0.9934642,0.0003000418],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006345464,0.0007710004,0.00001464603,0.0005557862,0.000836851,0.0003529754,0.9963041,0.00007116386,0.0004589108],"genre_scores_gemma":[0.0001512739,0.0003463121,0.00005316087,0.0006990609,0.001989989,0.00001372004,0.9944316,0.00004274308,0.00227215],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.007084463,"threshold_uncertainty_score":0.9999308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02447549972693587,"score_gpt":0.4619526652045687,"score_spread":0.4374771654776329,"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."}}