{"id":"W4365147107","doi":"10.1515/iupac.94.0673","title":"Molecular Entity","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); Computer science; Epistemology; Linguistics; Philosophy; Mathematics; Political science","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":[0.0004165825,0.0005500875,0.0006558828,0.0001246917,0.0001298441,0.00016232,0.001206106,0.0008332533,0.006283183],"category_scores_gemma":[0.00186306,0.0005791146,0.0003197251,0.0003188603,0.0001775324,0.00005170691,0.0007306034,0.001735229,0.00006104661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007938563,"about_ca_system_score_gemma":0.001308289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006334669,"about_ca_topic_score_gemma":0.0007523727,"domain_scores_codex":[0.9955531,0.00003359965,0.0005065311,0.0008064661,0.002301145,0.0007991515],"domain_scores_gemma":[0.9970199,0.00009248563,0.0002135403,0.001806353,0.0005157922,0.0003518605],"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":[0.00004105702,0.0001906047,0.00000775277,0.001396095,0.0002342291,0.001197289,0.000003680778,0.000008767011,0.002101434,0.000003543957,0.9944034,0.0004121334],"study_design_scores_gemma":[0.0005610868,0.00002299435,0.000001785627,0.0002785561,0.0001093684,0.00002153905,0.00001989417,0.00002333194,0.006299244,0.0001732411,0.9919655,0.0005235078],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008993988,0.0003572693,0.00001276443,0.0003377659,0.0002710881,0.0001001497,0.9971371,0.0003031202,0.0005813264],"genre_scores_gemma":[0.00001485459,0.0006683202,0.00002681289,0.00007170656,0.0008985113,0.00002969021,0.9936863,0.0001041062,0.004499656],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.006222136,"threshold_uncertainty_score":0.999666,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01854637161465705,"score_gpt":0.4189706691137396,"score_spread":0.4004242974990825,"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."}}