{"id":"W4245550379","doi":"10.1515/iupac.83.0141","title":"PE","year":2016,"lang":"ro","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Glossary; Chemical nomenclature; Photocatalysis; Compendium; Terminology; Chemistry; Nanotechnology; Catalysis; Materials science; Organic chemistry; History; Philosophy; Archaeology","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":[0.0009172942,0.001802457,0.001414951,0.004160341,0.0009233601,0.004453254,0.002049321,0.001473182,0.3315951],"category_scores_gemma":[0.006959369,0.0005495397,0.001369616,0.006892686,0.0003398635,0.003114666,0.002848395,0.001601855,0.54127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397612,"about_ca_system_score_gemma":0.001786861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01132709,"about_ca_topic_score_gemma":0.01440603,"domain_scores_codex":[0.9983009,0.0002534794,0.0002037594,0.0006647443,0.0003650619,0.000212114],"domain_scores_gemma":[0.9976469,0.0004382213,0.0001970556,0.0008126539,0.0006836038,0.0002215449],"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":[0.00009281596,0.00001993048,0.00103361,0.0007627072,0.0000234281,0.0000253211,0.0000259234,0.0001323719,0.0001470647,0.001101363,0.9804668,0.01616869],"study_design_scores_gemma":[0.00005388457,0.00001398019,0.001879407,0.0003218035,0.00001137738,0.00005704343,0.00005734079,0.0001836262,0.000166373,0.00118684,0.9960533,0.00001491982],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002108761,0.0002151097,0.0002237312,0.0001530591,0.00008530418,0.00003484881,0.9897159,0.001045917,0.00831526],"genre_scores_gemma":[0.0005416105,0.0001993313,0.0003628812,0.0001355975,0.00002512478,0.00009062065,0.9937975,0.0001968233,0.004650588],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3315951,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01682967672068977,"score_gpt":0.4225747073911253,"score_spread":0.4057450306704356,"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."}}