{"id":"W4246207281","doi":"10.1515/iupac.88.1345","title":"Sonic Hedgehog","year":2017,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Hedgehog Signaling Pathway Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Terminology; Relation (database); Computer science; Linguistics; Philosophy; 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":[0.001249393,0.001479516,0.001517454,0.004485548,0.0006762063,0.002377842,0.0019777,0.001668745,0.07098614],"category_scores_gemma":[0.00792536,0.0006748089,0.001521382,0.006461708,0.0004179239,0.001567754,0.002632577,0.001567813,0.07615484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009591408,"about_ca_system_score_gemma":0.002559869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009642236,"about_ca_topic_score_gemma":0.02089875,"domain_scores_codex":[0.9986728,0.0002192033,0.0003339469,0.0003434786,0.0002851516,0.0001454652],"domain_scores_gemma":[0.9973875,0.0009194458,0.0004277489,0.0006262433,0.0004522192,0.0001869265],"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":[0.0002261204,0.00002379251,0.002493805,0.005611069,0.0001123874,0.00008272689,0.00007483381,0.0003324799,0.0007402141,0.001234547,0.9734216,0.01564634],"study_design_scores_gemma":[0.000143055,0.00002188477,0.005890607,0.00117788,0.00006484805,0.0001224492,0.00006548525,0.0001251403,0.0004067656,0.0009442389,0.9910061,0.00003163053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001870658,0.0003418218,0.0001474646,0.00006914548,0.0000360806,0.00002399519,0.9977977,0.0002253182,0.001171345],"genre_scores_gemma":[0.0003810691,0.0002944116,0.0004208098,0.0001013139,0.000008037683,0.0001270719,0.9978825,0.00005175608,0.0007330384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07098614,"threshold_uncertainty_score":0.2374723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01981097118769973,"score_gpt":0.4264194220043049,"score_spread":0.4066084508166052,"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."}}