{"id":"W4402390999","doi":"10.23889/ijpds.v9i5.2505","title":"Pragmatic Clinical Trials, Linkages and Agreements: Interjurisdictional Collaboration on Pragmatic Clinical Trials","year":2024,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Alberta Health Services","funders":"","keywords":"Clinical trial; Computer science; Medicine; Internal medicine","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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.6062038,0.001449387,0.003860977,0.005857009,0.009391831,0.03219165,0.007700352,0.02409251,0.01669947],"category_scores_gemma":[0.691319,0.002747838,0.00234791,0.007450125,0.04270132,0.04390307,0.05410555,0.02881739,0.003293814],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01506641,"about_ca_system_score_gemma":0.08664633,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002948014,"about_ca_topic_score_gemma":0.003144564,"domain_scores_codex":[0.2092797,0.7263532,0.02098021,0.009198945,0.02916174,0.005026064],"domain_scores_gemma":[0.2012715,0.6614565,0.02228789,0.06403682,0.02794857,0.02299872],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001744646,0.00009852567,0.000728368,0.001116441,0.0002418766,0.0002786304,0.004563495,0.001611533,0.0001287332,0.8804606,0.03030542,0.08029179],"study_design_scores_gemma":[0.0002136599,0.00007547425,0.0002282766,0.001581583,0.00003285467,0.00009421603,0.001026158,0.001779732,0.00008181385,0.9162605,0.07856041,0.00006525638],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004131163,0.02009789,0.3678697,0.5091792,0.007514986,0.003489007,0.0002217559,0.0004949899,0.0870012],"genre_scores_gemma":[0.3073662,0.01234258,0.5376514,0.104462,0.008839645,0.01591482,0.0003757217,0.000754417,0.01229321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.997052,"threshold_uncertainty_score":0.4856209,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7759987835642644,"score_gpt":0.6766258612480722,"score_spread":0.09937292231619221,"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."}}