{"id":"W4250214438","doi":"10.1515/iupac.79.1061","title":"Conjunctiva","year":2016,"lang":"es","type":"dataset","venue":"IUPAC Standards Online","topic":"Ocular Oncology and Treatments","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002084193,0.001570168,0.001466407,0.003270767,0.00100859,0.00414543,0.00243868,0.001539145,0.2086175],"category_scores_gemma":[0.01829316,0.0006135505,0.002743513,0.004751029,0.0003962997,0.002445283,0.002782837,0.001537106,0.1973486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594616,"about_ca_system_score_gemma":0.00343443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01235738,"about_ca_topic_score_gemma":0.03217289,"domain_scores_codex":[0.9975188,0.0005456933,0.0004314068,0.0007970273,0.0004376634,0.0002693747],"domain_scores_gemma":[0.9946865,0.001712858,0.000564246,0.001394283,0.00128831,0.0003537762],"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":[0.0002116282,0.00001970861,0.00198365,0.001387005,0.0001056458,0.00002521214,0.00002464386,0.000155243,0.00009124316,0.0008073368,0.9862843,0.008904329],"study_design_scores_gemma":[0.0002934832,0.00003383563,0.003911484,0.0007239892,0.0001105028,0.0001135339,0.00006850191,0.0003169841,0.000227885,0.002006387,0.9921668,0.00002669667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002269095,0.0002848435,0.0001803503,0.0002066053,0.00009018069,0.00004787013,0.99485,0.0006435272,0.003469692],"genre_scores_gemma":[0.001051472,0.0002985889,0.0007553212,0.0004148059,0.00005285669,0.0002561499,0.9941321,0.0002065127,0.00283226],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7913824,"threshold_uncertainty_score":0.6978952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155425432132578,"score_gpt":0.4189251817286552,"score_spread":0.4033826385153974,"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."}}