{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001723484,0.0008004935,0.0005985196,0.002637269,0.001732957,0.00216378,0.001209074,0.0008986134,0.3718337],"category_scores_gemma":[0.01479845,0.0002281053,0.0005668552,0.001527184,0.0003779473,0.001662845,0.001497925,0.002825125,0.2586763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001377169,"about_ca_system_score_gemma":0.002203416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004352051,"about_ca_topic_score_gemma":0.004954216,"domain_scores_codex":[0.9992886,0.0001085576,0.00004915286,0.00008876817,0.0004042339,0.00006066958],"domain_scores_gemma":[0.9917561,0.001329714,0.0002658915,0.0006402472,0.0050498,0.0009582558],"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":[0.00002241099,0.00001251038,0.00005107681,0.0000626576,0.000001163016,0.00002882836,0.00001475617,0.00002727598,0.00008223423,0.001299797,0.9726671,0.02573009],"study_design_scores_gemma":[0.000004191485,0.00001075643,0.000198188,0.00007398347,0.000001882637,0.00004571402,0.00002438432,0.00002365969,0.0001183495,0.001282943,0.9982129,0.000003093246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001314338,0.01333734,0.01078102,0.05372624,0.4358443,0.001036584,0.0200207,0.001973672,0.4619658],"genre_scores_gemma":[0.005208433,0.006755915,0.004408348,0.01547261,0.04769171,0.0004984833,0.01308134,0.0009471702,0.9059359],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.3718337,"threshold_uncertainty_score":0,"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."}}