{"id":"W4233896835","doi":"10.1515/iupac.84.0574","title":"G Protein","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Medicine; Immunology; Immune system; Philosophy; Linguistics","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":[0.0007606619,0.002017171,0.001562813,0.003940008,0.001022717,0.003138575,0.002241726,0.002387924,0.1136396],"category_scores_gemma":[0.005586276,0.0006920822,0.001611073,0.00780186,0.0003756901,0.001952711,0.001842739,0.002089833,0.1629106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001643579,"about_ca_system_score_gemma":0.002722378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02098541,"about_ca_topic_score_gemma":0.02799904,"domain_scores_codex":[0.9988928,0.0001256448,0.0001775472,0.0004054617,0.0002243055,0.0001741359],"domain_scores_gemma":[0.9981919,0.0004507431,0.0003052501,0.0004245676,0.0004611737,0.0001663974],"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":[0.0002683344,0.00002568981,0.002446663,0.001647438,0.00005961438,0.00004341375,0.0000257921,0.00024067,0.000286451,0.0008104104,0.9875373,0.006608283],"study_design_scores_gemma":[0.0002266264,0.00003004017,0.007681943,0.0006226377,0.00005625634,0.0001496408,0.00006757756,0.0002225903,0.0003143486,0.001698617,0.9889025,0.00002726371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001613498,0.0001837545,0.00004960509,0.0001037489,0.00002214009,0.00001062712,0.9982905,0.0001563295,0.001021892],"genre_scores_gemma":[0.0004379668,0.0001837918,0.0001932171,0.0001156611,0.000007281928,0.00004033448,0.9980217,0.00004424135,0.0009557972],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1136396,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614637028168074,"score_gpt":0.410835031274785,"score_spread":0.3946886609931043,"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."}}