{"id":"W4249406994","doi":"10.1515/iupac.83.0351","title":"Concentration Response Relationship","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Glossary; Multidisciplinary approach; Context (archaeology); Field (mathematics); Process (computing); Computer science; Data science; Component (thermodynamics); 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":[0.002030964,0.002359045,0.002165715,0.004116138,0.0007323515,0.003714511,0.003836731,0.002204,0.07731089],"category_scores_gemma":[0.01246578,0.0006551101,0.002726034,0.006457846,0.0004598908,0.002293601,0.00134235,0.003075665,0.1012654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002036263,"about_ca_system_score_gemma":0.002081925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01520601,"about_ca_topic_score_gemma":0.02196002,"domain_scores_codex":[0.9970318,0.0003330768,0.0004848056,0.001184177,0.000722742,0.0002434113],"domain_scores_gemma":[0.9948686,0.001766769,0.0006528117,0.001225032,0.001344688,0.0001421759],"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":[0.0003022005,0.000146645,0.01115226,0.001716981,0.0001976962,0.00008553353,0.00003561681,0.002401041,0.0005158332,0.0029127,0.9554287,0.02510481],"study_design_scores_gemma":[0.0002878307,0.00009998482,0.01724568,0.0004795918,0.0001684526,0.0005031627,0.00009267532,0.004682483,0.001306032,0.006851826,0.9681829,0.00009944743],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009093474,0.0005216366,0.001144346,0.0002308074,0.0001113286,0.00006744371,0.9929965,0.0007867006,0.003231877],"genre_scores_gemma":[0.00565004,0.000687801,0.002278406,0.0004083797,0.00006386987,0.0003554919,0.9862105,0.000185117,0.004160365],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07731089,"threshold_uncertainty_score":0.2586307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03019055274287325,"score_gpt":0.4416118144604887,"score_spread":0.4114212617176155,"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."}}