{"id":"W4229895023","doi":"10.1515/iupac.83.0403","title":"Label-Free 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); Field (mathematics); Process (computing); 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":[0.0047812,0.002921989,0.003062983,0.004366425,0.001579908,0.004816881,0.005854039,0.003513431,0.05199257],"category_scores_gemma":[0.01286564,0.001127125,0.002668339,0.006351106,0.0009962807,0.002722241,0.003085405,0.004882947,0.117895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002822748,"about_ca_system_score_gemma":0.003931533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01079893,"about_ca_topic_score_gemma":0.02158135,"domain_scores_codex":[0.9940524,0.0008766747,0.0008772107,0.001738339,0.001894779,0.0005605142],"domain_scores_gemma":[0.9892287,0.002422388,0.001222558,0.00437332,0.002296462,0.0004565652],"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":[0.0004438836,0.0001459601,0.003317486,0.00221458,0.0001038994,0.00006795611,0.00003759262,0.001042419,0.001546085,0.002524455,0.9734108,0.01514498],"study_design_scores_gemma":[0.0002994193,0.0000972402,0.00570677,0.0005240133,0.00009223707,0.0002736932,0.00006362298,0.001339632,0.003779064,0.004555493,0.9831706,0.00009831459],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006804615,0.0004845984,0.001895639,0.0001745869,0.0001303829,0.0001482329,0.9906434,0.002028548,0.003814198],"genre_scores_gemma":[0.001073252,0.0002618816,0.002589984,0.0002362623,0.0000192656,0.0004971495,0.9931909,0.0002119241,0.001919379],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05199257,"threshold_uncertainty_score":0.1739324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02384311964787698,"score_gpt":0.4274158388865647,"score_spread":0.4035727192386877,"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."}}