{"id":"W2792855821","doi":"10.11613/bm.2018.010201","title":"Setting the IMPACT (IMProve Access to Clinical Trial data) Observatory baseline","year":2018,"lang":"en","type":"review","venue":"Biochemia Medica","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"FP7 People: Marie-Curie Actions; European Commission","keywords":"Baseline (sea); Observatory; Clinical trial; Medicine; Computer science; Internal medicine; Political science; Physics","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":["metaresearch","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4754304,0.001761098,0.003959616,0.01035182,0.003436681,0.01697828,0.005360268,0.006568644,0.01022611],"category_scores_gemma":[0.5908733,0.00189198,0.004743221,0.01508598,0.003712485,0.02622544,0.01841625,0.008298004,0.001905277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02049758,"about_ca_system_score_gemma":0.07855479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006260126,"about_ca_topic_score_gemma":0.003659195,"domain_scores_codex":[0.6101169,0.2438681,0.07678928,0.01632643,0.0434511,0.009448169],"domain_scores_gemma":[0.2711889,0.3483778,0.1985776,0.05080483,0.1065661,0.02448484],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02805279,0.001858095,0.1417766,0.1701215,0.007640887,0.0009039799,0.01070074,0.005755007,0.003010039,0.07610489,0.1147017,0.4393737],"study_design_scores_gemma":[0.01473492,0.01416659,0.3310174,0.142783,0.01068432,0.0008326331,0.008231653,0.005196867,0.01011207,0.0673737,0.3937796,0.001087277],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.1335954,0.1855255,0.1305235,0.3017929,0.02637713,0.0887579,0.0586981,0.002896103,0.07183339],"genre_scores_gemma":[0.5248514,0.02884537,0.2235229,0.07006133,0.005872767,0.1204462,0.02182703,0.0006081673,0.003964985],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.9946398,"threshold_uncertainty_score":0.6468877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8593971966609129,"score_gpt":0.7239602009582885,"score_spread":0.1354369957026244,"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."}}