{"id":"W4365147830","doi":"10.1515/iupac.94.0752","title":"Propagation","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":[0.0004090191,0.000439539,0.0004977683,0.0001149945,0.0001379938,0.0001304499,0.0007812933,0.0007008077,0.00485558],"category_scores_gemma":[0.001825932,0.00042998,0.00017599,0.0002880401,0.0001314877,0.00005964319,0.0003715958,0.001360098,0.0000594982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008291315,"about_ca_system_score_gemma":0.001383925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003235343,"about_ca_topic_score_gemma":0.0007139224,"domain_scores_codex":[0.9962987,0.0000247782,0.0004781449,0.0006476106,0.001944395,0.0006063192],"domain_scores_gemma":[0.9976404,0.00009945606,0.0002319317,0.001244203,0.0005486109,0.0002353458],"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":[0.00005117093,0.0001360898,0.000003991593,0.001492067,0.0001113916,0.0002321955,0.000005898779,0.000004333294,0.0007367654,0.000002235189,0.9960446,0.00117925],"study_design_scores_gemma":[0.000498847,0.00002822804,0.000002030387,0.0003509205,0.00006838868,0.00001902545,0.00002780702,0.00006769382,0.002279574,0.00008690694,0.9961526,0.0004179505],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001393168,0.0001419787,0.00001214021,0.0004417001,0.0002336933,0.0001243693,0.9981236,0.000323796,0.0004594184],"genre_scores_gemma":[0.000006054752,0.0005084075,0.00002168214,0.00003954031,0.001656821,0.0000446894,0.986926,0.00008508939,0.01071168],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01119756,"threshold_uncertainty_score":0.9998152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02446262746597088,"score_gpt":0.4227263487691296,"score_spread":0.3982637213031587,"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."}}