{"id":"W4249064625","doi":"10.1515/iupac.83.0439","title":"Potency","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); Computer science; Field (mathematics); Multidisciplinary approach; Process (computing); 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":[],"consensus_categories":[],"category_scores_codex":[0.001278315,0.001676793,0.001438529,0.003053058,0.0009088992,0.003668591,0.002570599,0.001344751,0.1893004],"category_scores_gemma":[0.01095514,0.0005519633,0.001661762,0.005446934,0.0003757976,0.002795537,0.001793961,0.002080003,0.2041269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001742985,"about_ca_system_score_gemma":0.002113495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01763703,"about_ca_topic_score_gemma":0.02582805,"domain_scores_codex":[0.997664,0.0002743689,0.0003971474,0.0007778825,0.0006300007,0.0002567061],"domain_scores_gemma":[0.9949394,0.001091863,0.0006071673,0.001375097,0.001723038,0.0002634528],"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":[0.0001453818,0.00003242116,0.004027052,0.0007990307,0.00004136011,0.00002328346,0.00003741974,0.0002599838,0.0001280748,0.001698531,0.9818687,0.0109387],"study_design_scores_gemma":[0.0001164434,0.00002704999,0.009652546,0.0004078462,0.00003613994,0.0001126531,0.0001104393,0.0002528111,0.0003190545,0.002100066,0.9868346,0.00003027714],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003984624,0.0001463109,0.0001668207,0.0001184601,0.00005299288,0.00003156501,0.9932852,0.0003221034,0.005478122],"genre_scores_gemma":[0.001464981,0.0001585501,0.0004362602,0.0001713479,0.00002118717,0.0001105071,0.9932165,0.0001054156,0.004315201],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1893004,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01499346692358056,"score_gpt":0.4187760656761428,"score_spread":0.4037825987525623,"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."}}