{"id":"W7098109285","doi":"","title":"open access to scientific and medical research Open Access Full Text Article","year":2013,"lang":"en","type":"article","venue":"","topic":"Diabetes, Cardiovascular Risks, and Lipoproteins","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medical research; Data access; MEDLINE; Markov chain; Open research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.001071327,0.000258002,0.0005395995,0.001177451,0.001107636,0.002768866,0.001361644,0.001139838,0.08110695],"category_scores_gemma":[0.009484271,0.0002280794,0.0008323887,0.002204616,0.0009269252,0.0006369013,0.0008069816,0.0007079081,0.008262833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01006333,"about_ca_system_score_gemma":0.04040741,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.8829609,"about_ca_topic_score_gemma":0.836767,"domain_scores_codex":[0.9992506,0.0000956943,0.0000270457,0.00006546736,0.0003181191,0.000242978],"domain_scores_gemma":[0.996995,0.0008333417,0.0002019574,0.0002885643,0.001071897,0.0006093301],"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":[0.001568641,0.0009435129,0.09563642,0.0003746065,0.0003128003,0.00155617,0.000742605,0.280811,0.00228334,0.161377,0.2864422,0.1679517],"study_design_scores_gemma":[0.001785861,0.0004599274,0.09888887,0.0003307776,0.0002781923,0.0006227572,0.001719212,0.5670992,0.002210232,0.04527698,0.2810631,0.0002649745],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.3439679,0.001632107,0.03211918,0.0200836,0.001156282,0.001026434,0.07650206,0.002027059,0.5214854],"genre_scores_gemma":[0.7739016,0.001884547,0.005538858,0.0004983121,0.0001035397,0.0001641241,0.01271467,0.0001882846,0.2050059],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9986383,"threshold_uncertainty_score":0.2713298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1705591862238026,"score_gpt":0.4761500714982095,"score_spread":0.3055908852744069,"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."}}