{"id":"W4238935593","doi":"10.1515/iupac.83.0326","title":"Agonist","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Context (archaeology); Multidisciplinary approach; Computer science; Process (computing); Field (mathematics); Data science; Management science; Sociology; Engineering; Biology; Linguistics; Mathematics; Social 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001551827,0.001661059,0.00123744,0.002851006,0.001314717,0.003960878,0.002440627,0.001765348,0.2248566],"category_scores_gemma":[0.01140416,0.0006599039,0.001433667,0.005254017,0.0004410112,0.002835117,0.002458319,0.002120814,0.2894285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00183696,"about_ca_system_score_gemma":0.002912069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01842193,"about_ca_topic_score_gemma":0.03186182,"domain_scores_codex":[0.9973151,0.0003951286,0.0003851864,0.0008917551,0.0006828331,0.0003299941],"domain_scores_gemma":[0.9947715,0.0009294187,0.0004849712,0.001585869,0.001875047,0.000353055],"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":[0.00008218389,0.00001821981,0.0016174,0.0003338309,0.00001553331,0.00001714164,0.00002941279,0.00008645708,0.00006508012,0.001080565,0.991625,0.005029172],"study_design_scores_gemma":[0.00007596942,0.00001380475,0.003799203,0.0003200052,0.00001647999,0.00007320337,0.0001124965,0.0001322752,0.0001927893,0.001669581,0.9935742,0.00001995774],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002782982,0.00009639878,0.0002081344,0.0001721839,0.00007650297,0.00003728556,0.9928511,0.0004555315,0.005824481],"genre_scores_gemma":[0.0007578331,0.0001013165,0.0004629979,0.000244157,0.00002120091,0.0001481865,0.9933178,0.0001452479,0.004801131],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7751434,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706727766796159,"score_gpt":0.4196593654242337,"score_spread":0.4025920877562721,"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."}}