{"id":"W4234887058","doi":"10.1515/iupac.79.1062","title":"Conjunctivitis","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Ocular Surface and Contact Lens","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.0009860219,0.001413099,0.00186575,0.003100899,0.0006355409,0.002124397,0.001362889,0.001244098,0.05962379],"category_scores_gemma":[0.009113581,0.0003983311,0.002498876,0.004270361,0.0002679834,0.001318807,0.001427142,0.001121815,0.02641278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317566,"about_ca_system_score_gemma":0.002028601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01148202,"about_ca_topic_score_gemma":0.02358232,"domain_scores_codex":[0.9983199,0.0002465797,0.0005139042,0.0004951708,0.0002703286,0.0001541025],"domain_scores_gemma":[0.9966679,0.0009596919,0.0009773928,0.0005120281,0.0006957912,0.0001872484],"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":[0.001440699,0.00007610698,0.02158502,0.01213742,0.0007526002,0.0002591763,0.00004994912,0.000397938,0.0003772406,0.0006546809,0.9290737,0.03319557],"study_design_scores_gemma":[0.001996155,0.0001587217,0.1046118,0.008530345,0.001270384,0.002005023,0.0001934812,0.0008318792,0.0009571402,0.002665314,0.8766431,0.0001367464],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00106491,0.001589216,0.0001189458,0.0001092282,0.00005488177,0.0001080462,0.9942812,0.0001479904,0.002525498],"genre_scores_gemma":[0.004654317,0.00154164,0.000489671,0.0003495165,0.00004929872,0.000461359,0.9904875,0.00004220042,0.00192456],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05962379,"threshold_uncertainty_score":0.1994615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265206353181144,"score_gpt":0.3821172813662611,"score_spread":0.3694652178344497,"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."}}