{"id":"W4241340127","doi":"10.1515/iupac.88.1004","title":"Macrocephaly","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Cerebrospinal fluid and hydrocephalus","field":"Neuroscience","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008156473,0.001415402,0.001604606,0.003861367,0.0005795219,0.001644638,0.001693355,0.00113168,0.08801888],"category_scores_gemma":[0.0100691,0.0003746699,0.001181156,0.004960054,0.0003664749,0.001464011,0.001417319,0.001254532,0.0452042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009773178,"about_ca_system_score_gemma":0.002043903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00995199,"about_ca_topic_score_gemma":0.02209959,"domain_scores_codex":[0.9991026,0.0001271329,0.0002964594,0.0002367435,0.0001530541,0.00008401836],"domain_scores_gemma":[0.9964026,0.001123696,0.0008392515,0.0006531206,0.0007934537,0.0001878497],"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":[0.0002754039,0.00001807698,0.004566642,0.004021721,0.0001203177,0.0001573172,0.00003695569,0.0001712005,0.0001187493,0.0007145915,0.9728568,0.01694225],"study_design_scores_gemma":[0.0003861987,0.00004040761,0.02838087,0.005384089,0.0001604834,0.001099378,0.000154897,0.0002452409,0.0003620563,0.002985854,0.9607272,0.00007330367],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003744056,0.0004897107,0.0001130118,0.0001038384,0.0000413759,0.0000524555,0.9963558,0.0001749648,0.002294492],"genre_scores_gemma":[0.001656882,0.0008578506,0.0005002841,0.0001992068,0.00003043275,0.0003106459,0.9948937,0.00006665489,0.001484397],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08801888,"threshold_uncertainty_score":0.2944525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02859946747558957,"score_gpt":0.4274912125529737,"score_spread":0.3988917450773842,"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."}}