{"id":"W4249832043","doi":"10.1515/iupac.87.0544","title":"Proprioceptor","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Immunotoxicology and immune responses","field":"Immunology and Microbiology","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; Data mining; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007016217,0.0006608813,0.0009915214,0.0003535192,0.000360512,0.0000282721,0.0008771957,0.00196486,0.03469389],"category_scores_gemma":[0.001141706,0.0004645414,0.0003252151,0.0001578393,0.000843617,0.000102421,0.0003599261,0.001319123,0.000177831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003492511,"about_ca_system_score_gemma":0.001497536,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000633258,"about_ca_topic_score_gemma":0.00008806345,"domain_scores_codex":[0.9970785,0.0005554445,0.000682028,0.0006652597,0.000167213,0.0008515422],"domain_scores_gemma":[0.9976503,0.0002885344,0.0004012579,0.001199907,0.0004194715,0.0000405498],"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":[0.001550937,0.0004204657,0.00000539793,0.00007343277,0.0006446125,0.00004301355,0.00001375104,3.905551e-8,0.01033725,0.00001056845,0.9822749,0.004625651],"study_design_scores_gemma":[0.002245071,0.0006889392,0.0000716394,0.0003195889,0.0001935816,0.0001832107,0.00002269327,1.184904e-8,0.004870444,0.00003375379,0.9907669,0.0006041658],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006344587,0.01449341,0.00001823728,0.0006098171,0.006127716,0.0005189175,0.9773883,0.0001430757,0.00006608736],"genre_scores_gemma":[0.00007022081,0.002039891,0.00000656611,0.000408941,0.0004310325,0.00005741739,0.9825909,0.00005093933,0.01434414],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03451606,"threshold_uncertainty_score":0.9997807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01054994006676319,"score_gpt":0.3670958463567371,"score_spread":0.3565459062899739,"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."}}