{"id":"W4234921272","doi":"10.2174/1389450003349425","title":"Preface","year":2000,"lang":"en","type":"article","venue":"Current Drug Targets","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Computer 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001952119,0.0002083597,0.0001747086,0.00006828883,0.0001118393,0.00003817277,0.0003051283,0.00002920479,0.01065469],"category_scores_gemma":[0.0000289588,0.0001967261,0.00009533569,0.0002479443,0.00006670847,0.0002279453,0.00004036332,0.0002239287,0.1029136],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008420715,"about_ca_system_score_gemma":0.00004074214,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009138525,"about_ca_topic_score_gemma":0.000006979365,"domain_scores_codex":[0.9985017,0.00008145509,0.0002176373,0.0003725962,0.0003374571,0.0004891156],"domain_scores_gemma":[0.9992651,0.00002458128,0.00005006343,0.0004257672,0.00004454949,0.0001899446],"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":[0.00006177214,0.000545329,0.004706572,0.00004897166,0.00002816645,0.000008457467,0.001691675,0.0003097157,0.001084018,0.0004045492,0.7638313,0.2272795],"study_design_scores_gemma":[0.0004519673,0.000007661553,0.005209808,0.00003628399,0.0000157618,0.000003019645,0.00001394933,0.0005080958,0.002728256,0.0005873542,0.9901646,0.0002731787],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9192476,0.01749253,0.00002028935,0.0002659241,0.001370496,0.0004806536,0.0001666344,0.0009300253,0.06002591],"genre_scores_gemma":[0.9913368,0.0002061613,0.0002273732,0.00004368277,0.0003384046,0.00004128558,0.0001001925,0.00009253974,0.007613616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2270063,"threshold_uncertainty_score":0.9902497,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720292863656008,"score_gpt":0.2828241078367663,"score_spread":0.2656211792002062,"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."}}