{"id":"W4365147945","doi":"10.1515/iupac.94.0507","title":"Graphene","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Meaning (existential); Abandonment (legal); Field (mathematics); Epistemology; Computer science; Linguistics; Philosophy; Mathematics; Political science; Pure mathematics","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000436346,0.0006053362,0.0007284412,0.0001723394,0.0001653603,0.0001411642,0.001267463,0.0008878168,0.008581129],"category_scores_gemma":[0.001491841,0.0006041877,0.0003307894,0.0004339837,0.000210155,0.00005204887,0.000598272,0.001793038,0.00005811056],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006008251,"about_ca_system_score_gemma":0.001231027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000580683,"about_ca_topic_score_gemma":0.001192451,"domain_scores_codex":[0.9954445,0.00002696578,0.0005697368,0.0008415651,0.002235218,0.0008820205],"domain_scores_gemma":[0.9968657,0.000157136,0.0002344687,0.0018469,0.0005120218,0.000383734],"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":[0.00006103493,0.0001809913,0.00001028371,0.001283889,0.000235475,0.000514204,0.000005124987,0.000003148969,0.000540603,0.00000273772,0.99637,0.0007925206],"study_design_scores_gemma":[0.000671108,0.00003051516,0.000003120253,0.0003497779,0.0001011816,0.00002691312,0.00003447647,0.0000162524,0.001192195,0.0002779074,0.9967239,0.0005726336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002021251,0.0004044235,0.000003702075,0.0003947174,0.000333833,0.00009244464,0.997548,0.0003906582,0.0006300756],"genre_scores_gemma":[0.00000379232,0.001543833,0.00002591462,0.00006979746,0.001736124,0.00003662534,0.9857005,0.0001172941,0.01076615],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01184755,"threshold_uncertainty_score":0.9996409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02420713480009092,"score_gpt":0.4219334868126168,"score_spread":0.3977263520125259,"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."}}