{"id":"W4243759486","doi":"10.1515/iupac.84.0826","title":"Ligand","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Immunotoxicology; Medicine; Immunology; Immune system; Philosophy; Linguistics","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":[0.001417898,0.001918868,0.001685328,0.002973534,0.0012116,0.004229748,0.003302294,0.002625015,0.2459244],"category_scores_gemma":[0.01154018,0.0007728754,0.001801396,0.005294228,0.0003917524,0.002659472,0.002567938,0.00228344,0.2722488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001924431,"about_ca_system_score_gemma":0.003578874,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01694957,"about_ca_topic_score_gemma":0.02988858,"domain_scores_codex":[0.9978194,0.0003494195,0.0003295504,0.0007478511,0.0004550598,0.0002986103],"domain_scores_gemma":[0.9958786,0.00113619,0.0004663379,0.0009881449,0.001226185,0.000304567],"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":[0.0001752011,0.00001992146,0.001377144,0.001176694,0.00003773542,0.00002089321,0.00002129883,0.0001954959,0.00009685911,0.0008411707,0.9893741,0.006663423],"study_design_scores_gemma":[0.0002146392,0.00002304217,0.002334112,0.0005922297,0.00003921023,0.00007906647,0.00006271181,0.0002185084,0.0002154567,0.002136381,0.9940594,0.00002532257],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001087017,0.0001540013,0.0001214478,0.0001452409,0.00003787802,0.00002351554,0.9971065,0.0003282519,0.001974484],"genre_scores_gemma":[0.0004915026,0.0001468899,0.0004231657,0.000247977,0.0000148251,0.0001246175,0.996418,0.0001037741,0.002029221],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2459244,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593275048543264,"score_gpt":0.4164673906848669,"score_spread":0.4005346401994343,"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."}}