{"id":"W4234569672","doi":"10.1515/iupac.83.0377","title":"Functional Assay","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; Context (archaeology); Process (computing); Field (mathematics); Multidisciplinary approach; Computer science; Data science; Management science; Component (thermodynamics); 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":[0.002085285,0.003318843,0.002311193,0.003744801,0.001309027,0.003484391,0.00455906,0.002535344,0.06018346],"category_scores_gemma":[0.007991078,0.0008645477,0.002308019,0.004688478,0.0006491582,0.002058324,0.002440941,0.003288433,0.1043462],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002187693,"about_ca_system_score_gemma":0.002631187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01285732,"about_ca_topic_score_gemma":0.02645812,"domain_scores_codex":[0.9973954,0.0003065795,0.0004079232,0.0007924617,0.0007781806,0.0003194182],"domain_scores_gemma":[0.9959182,0.0009586121,0.0005268427,0.00132586,0.0009831084,0.0002873546],"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":[0.00030569,0.00007617815,0.003481781,0.001757203,0.00006351885,0.00006666801,0.00003627318,0.0005829515,0.0006356785,0.001743463,0.9822497,0.009000902],"study_design_scores_gemma":[0.0002015175,0.0000468433,0.007146382,0.0004778798,0.00006412625,0.000250053,0.00007413967,0.0006373961,0.001363259,0.002690486,0.9869912,0.00005679884],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004088748,0.0002271664,0.000442511,0.00007383282,0.00004273442,0.00004682884,0.9957842,0.0007815436,0.002192242],"genre_scores_gemma":[0.0005840566,0.0001143675,0.0007022974,0.00009070796,0.000006216127,0.0001431005,0.9973901,0.00008533895,0.0008838412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06018346,"threshold_uncertainty_score":0.2013338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02570541379852215,"score_gpt":0.4132860649785831,"score_spread":0.3875806511800609,"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."}}