{"id":"W4238865254","doi":"10.1515/iupac.83.0320","title":"Absorbance 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); Computer science; Field (mathematics); Process (computing); Multidisciplinary approach; Data science; Management science; Engineering; Sociology; Biology; Mathematics; Linguistics; 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":[0.002223018,0.002983732,0.002475752,0.004124625,0.001116773,0.003391911,0.004153464,0.001966395,0.04954356],"category_scores_gemma":[0.007459154,0.0008539883,0.001838829,0.006224232,0.0005392375,0.002086118,0.002018916,0.003205153,0.1207533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002099124,"about_ca_system_score_gemma":0.002207318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.012128,"about_ca_topic_score_gemma":0.02302519,"domain_scores_codex":[0.9967613,0.0003870362,0.0005781133,0.001012591,0.0009786002,0.0002824392],"domain_scores_gemma":[0.9947439,0.0009379461,0.000786969,0.001539994,0.001722621,0.0002685121],"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":[0.0002609273,0.0001053079,0.004038732,0.001321629,0.00005824785,0.00003537351,0.00003377447,0.0005256234,0.0005922758,0.0009810352,0.981325,0.01072217],"study_design_scores_gemma":[0.0002247971,0.00006291199,0.01131355,0.0003880765,0.00005643419,0.0001731796,0.0001000514,0.0009822915,0.00216711,0.002300228,0.9821493,0.00008199357],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005522498,0.0001476161,0.0004804083,0.00007713254,0.00005037255,0.00005718222,0.9951573,0.001200992,0.002276687],"genre_scores_gemma":[0.0008160018,0.0001172317,0.001143894,0.00008042577,0.00001064767,0.000191738,0.9961584,0.0001271411,0.001354446],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04954356,"threshold_uncertainty_score":0.1657397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01915336962956346,"score_gpt":0.424163545327815,"score_spread":0.4050101756982515,"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."}}