{"id":"W4365147077","doi":"10.1515/iupac.94.0846","title":"Stereoelectronic","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Advanced Chemical Sensor Technologies","field":"Engineering","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; Chemistry; 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"],"consensus_categories":[],"category_scores_codex":[0.00005273702,0.0004281093,0.0005020318,0.0001975096,0.00003520977,0.00002936568,0.0005530043,0.000544694,0.0001487713],"category_scores_gemma":[0.0002960769,0.0004189714,0.0001131241,0.0003996013,0.00008727994,0.00004918626,0.0001391299,0.001099172,0.00003501011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007816609,"about_ca_system_score_gemma":0.00003319314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001650841,"about_ca_topic_score_gemma":0.0003118563,"domain_scores_codex":[0.9981956,0.000007867824,0.0003251987,0.0003297965,0.0005309937,0.0006105089],"domain_scores_gemma":[0.9989491,0.0000736818,0.00005371462,0.0007639846,0.00008412844,0.0000754372],"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":[0.000007714498,0.00001544601,1.564929e-7,0.0001916582,0.00008067625,0.00005073395,0.000001029549,0.0006250587,0.0003542114,0.000002966227,0.9959491,0.002721252],"study_design_scores_gemma":[0.0002090852,0.00005524597,0.000001219173,0.0001117791,0.00004267499,0.000006943388,0.00001303923,0.0001220922,0.002291194,0.0005969811,0.9961114,0.0004383307],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003543079,0.001255378,0.000132662,0.00007546206,0.0005422188,0.0001549084,0.9942216,0.003243028,0.00002048592],"genre_scores_gemma":[0.00003811899,0.003662223,0.00007386332,0.00002586011,0.0002827958,0.00001974112,0.9956422,0.000115524,0.0001396568],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.003127504,"threshold_uncertainty_score":0.9998262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072822683663194,"score_gpt":0.3580245798757084,"score_spread":0.3472963530390765,"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."}}