{"id":"W4210292423","doi":"10.1002/clc.4960270217","title":"Progress in clinical trials","year":2004,"lang":"en","type":"article","venue":"Clinical Cardiology","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Citation; Clinical trial; Library science; Pathology; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2336315,0.0002042379,0.004602034,0.0002349666,0.00006857791,0.00003146855,0.0004231628,0.0007938858,0.000161454],"category_scores_gemma":[0.08275937,0.0002273279,0.0009534893,0.0001963542,0.0005213456,0.0001733657,0.0001079568,0.0007349309,0.004868398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002751734,"about_ca_system_score_gemma":0.000332181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008295888,"about_ca_topic_score_gemma":0.00005726965,"domain_scores_codex":[0.9727616,0.006468693,0.01912338,0.001013262,0.00006402977,0.0005689953],"domain_scores_gemma":[0.9828118,0.01238805,0.003600555,0.0008079602,0.00006081993,0.0003308125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005172244,0.0001333341,0.9076791,0.00003479704,0.0001111608,0.0000161455,0.00006902301,0.0001146523,2.300645e-8,0.08162074,0.008159012,0.002010311],"study_design_scores_gemma":[0.00407271,0.0003356446,0.8290026,0.00003831629,0.00001256551,0.00001376259,0.0001212835,0.0001132454,1.34799e-7,0.07782202,0.08818832,0.0002793631],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8872218,0.008514996,0.005312406,0.08081707,0.007732232,0.001632175,0.0001708171,0.0001229606,0.008475516],"genre_scores_gemma":[0.9760106,0.0006759755,0.002612513,0.01680038,0.003548485,0.0001670434,0.00003299254,0.00003377494,0.0001182302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1508722,"threshold_uncertainty_score":0.9959064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8281626775957954,"score_gpt":0.6436315102411686,"score_spread":0.1845311673546268,"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."}}