{"id":"W4249755733","doi":"10.1515/iupac.87.0192","title":"Diplopia","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Ophthalmology and Eye Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Relation (database); Computer science; Psychology; Chemistry; Linguistics; Philosophy; Organic chemistry; Data mining","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":[0.0008326616,0.0009087801,0.0009485838,0.003123902,0.0006227312,0.002428256,0.001322139,0.001043383,0.2087863],"category_scores_gemma":[0.01109758,0.0003351523,0.001084047,0.00425406,0.0002809568,0.001528183,0.001973023,0.00108063,0.18823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001143026,"about_ca_system_score_gemma":0.002055494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01095117,"about_ca_topic_score_gemma":0.02298844,"domain_scores_codex":[0.9989263,0.0001741261,0.0002377272,0.0002987899,0.0002175728,0.0001455107],"domain_scores_gemma":[0.9966292,0.0008981889,0.0004377513,0.0006602961,0.001066602,0.000307813],"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":[0.00009417023,0.000009556516,0.0009896326,0.0006493001,0.00001817009,0.00001639418,0.00001237556,0.00005331717,0.00004912637,0.0004608734,0.9919629,0.005684234],"study_design_scores_gemma":[0.0001712958,0.00001716178,0.004186159,0.000553883,0.0000209019,0.00008395876,0.00005533513,0.0001232874,0.0001532799,0.001123798,0.9934948,0.00001615559],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001748918,0.0001362073,0.00006864747,0.0001383636,0.00007534087,0.00002433549,0.9955302,0.0003336725,0.003518456],"genre_scores_gemma":[0.0008634416,0.0001693643,0.0003217953,0.0003030194,0.00004148839,0.0001052766,0.9940513,0.0001247352,0.004019556],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2087863,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01662072525026176,"score_gpt":0.4388681163209632,"score_spread":0.4222473910707015,"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."}}