{"id":"W4250407253","doi":"10.1515/iupac.83.0338","title":"Binding Isotherm","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; Component (thermodynamics); 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":[0.001690804,0.002801185,0.002714483,0.005002308,0.00142297,0.003728584,0.005405167,0.002625275,0.08235057],"category_scores_gemma":[0.009350858,0.0008749089,0.002835753,0.00716916,0.0005882271,0.002784565,0.001944178,0.003640839,0.1387859],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002419108,"about_ca_system_score_gemma":0.002622444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02491866,"about_ca_topic_score_gemma":0.04266408,"domain_scores_codex":[0.9977761,0.0003046371,0.0003201365,0.0006809444,0.0006386469,0.000279607],"domain_scores_gemma":[0.9964323,0.001083048,0.0003642846,0.001018363,0.0009116839,0.0001903454],"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":[0.0001776046,0.0000930544,0.003838965,0.0014822,0.00007425393,0.00004281962,0.00003578662,0.001935629,0.0002731429,0.002279664,0.9806392,0.009127764],"study_design_scores_gemma":[0.0002646961,0.00004958092,0.008969613,0.0004625211,0.0000681605,0.0002522789,0.0001172397,0.004533265,0.001222117,0.007572989,0.9763981,0.00008954848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006106721,0.0003290892,0.0005193681,0.0001076645,0.00005339096,0.00004081188,0.9942294,0.001022979,0.003086577],"genre_scores_gemma":[0.001918884,0.000246942,0.0009397002,0.0001188933,0.00001317838,0.0001468092,0.994819,0.0001655042,0.0016311],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08235057,"threshold_uncertainty_score":0.2754902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02222880282525094,"score_gpt":0.4320796250478625,"score_spread":0.4098508222226116,"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."}}