{"id":"W4247598810","doi":"10.1515/iupac.83.0387","title":"Hit Threshold","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); Computer science; Multidisciplinary approach; Process (computing); Data science; Management science; Sociology; Engineering; Linguistics; Biology; 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":[0.001866474,0.00239318,0.002549344,0.006400269,0.001330866,0.004935586,0.003875538,0.002049309,0.07122649],"category_scores_gemma":[0.01445739,0.0006401614,0.002540652,0.006272274,0.000557232,0.002969155,0.001916863,0.003209032,0.08770762],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002202654,"about_ca_system_score_gemma":0.002866266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0117098,"about_ca_topic_score_gemma":0.02643809,"domain_scores_codex":[0.9965347,0.0003272787,0.0006556349,0.001239792,0.0008477441,0.0003948997],"domain_scores_gemma":[0.9955816,0.00135632,0.0004142235,0.00130739,0.001085348,0.0002551548],"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":[0.0003882513,0.00009742619,0.006283503,0.001399223,0.0001286948,0.00007770486,0.00004170482,0.001338539,0.0003106715,0.002185048,0.9712007,0.01654856],"study_design_scores_gemma":[0.0005994223,0.0001477274,0.01439326,0.0007272704,0.000198861,0.0008517997,0.0002071736,0.004532005,0.002382491,0.01070749,0.9651259,0.0001265929],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001643335,0.0005287293,0.0008038069,0.000181347,0.0001486849,0.0001011748,0.9895905,0.001794454,0.005208008],"genre_scores_gemma":[0.003726833,0.0002756672,0.001989057,0.0001660296,0.00003025861,0.0002219967,0.9910223,0.0002991455,0.002268546],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07122649,"threshold_uncertainty_score":0.2382764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02331949134718966,"score_gpt":0.4289523964114031,"score_spread":0.4056329050642135,"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."}}