{"id":"W4246283852","doi":"10.1002/bip.20320","title":"Abstracts of keynote &amp; plenary lectures","year":2005,"lang":"en","type":"article","venue":"Biopolymers","topic":"Chemical Synthesis and Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Citation; Library science; Computer science; Information retrieval; Chemistry; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005254261,0.00009121592,0.0001134654,0.00002584062,0.00002522018,0.000005464434,0.0001162304,0.00009658613,0.0001997762],"category_scores_gemma":[0.00004476923,0.00007755955,0.0001434736,0.00005854689,0.00007379053,0.000001475878,0.00003714304,0.00003512084,0.00002078356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005588296,"about_ca_system_score_gemma":0.00001912196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000557299,"about_ca_topic_score_gemma":0.00004572133,"domain_scores_codex":[0.9994076,0.00001088365,0.0001695828,0.0001776344,0.00009225096,0.0001420531],"domain_scores_gemma":[0.9996227,0.000008778768,0.00007020538,0.0002179514,0.00001887324,0.00006147855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002613475,0.00004194651,0.0003488723,0.000005439326,0.00005156579,2.13927e-7,0.00001142324,0.00003339645,0.9836291,0.000006146457,0.002485148,0.01336059],"study_design_scores_gemma":[0.0001013136,0.0000172666,0.0007153059,0.00000452899,0.00001988217,0.000001811212,0.00001116727,0.000005010281,0.8834285,0.000007558791,0.1155969,0.00009077421],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933521,0.002280299,0.00009231502,0.0004052958,0.00002486122,0.00002671339,0.00001435893,0.000006962008,0.003797069],"genre_scores_gemma":[0.9977468,0.0001491042,0.0005341923,0.0002110907,0.0002276849,0.000002019852,0.00005236982,0.000009942562,0.001066791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1131118,"threshold_uncertainty_score":0.3162786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008162100033988696,"score_gpt":0.2427898587843929,"score_spread":0.2346277587504042,"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."}}