{"id":"W4248486574","doi":"10.1515/iupac.83.0353","title":"Counter-Screen","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); Multidisciplinary approach; Process (computing); Computer science; Data science; Component (thermodynamics); Management science; Engineering; Sociology; Biology; Linguistics; Social science; Mathematics","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":[0.001548824,0.003313852,0.002068167,0.002716274,0.001318656,0.003274505,0.004962103,0.002402967,0.05280603],"category_scores_gemma":[0.006065632,0.0007755326,0.002488231,0.00333269,0.000588353,0.002030117,0.002429675,0.002826451,0.09002496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001775845,"about_ca_system_score_gemma":0.00298688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01567589,"about_ca_topic_score_gemma":0.04085907,"domain_scores_codex":[0.998244,0.0002583944,0.0002369944,0.0005774803,0.0004555422,0.0002274981],"domain_scores_gemma":[0.9973049,0.0005824813,0.0002885978,0.0009914617,0.0006120744,0.0002205303],"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":[0.0003189596,0.00007558836,0.003055305,0.001097601,0.00008018976,0.00005341316,0.0000238047,0.0006256031,0.0002536605,0.001079961,0.9866908,0.006645221],"study_design_scores_gemma":[0.0004797195,0.00007971494,0.006583685,0.0005198256,0.0001030536,0.0003212482,0.00009079161,0.00184759,0.00165559,0.003026652,0.9852218,0.00007039114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006238887,0.0002437778,0.0003807535,0.0001304403,0.00006645847,0.00005719182,0.9949759,0.001435135,0.002086413],"genre_scores_gemma":[0.0007976686,0.000128202,0.0007401697,0.000140855,0.00001002016,0.0001167533,0.9968388,0.0001311295,0.001096383],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05280603,"threshold_uncertainty_score":0.1766538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202280667094628,"score_gpt":0.4284301453229961,"score_spread":0.4082020786135332,"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."}}