{"id":"W2065083921","doi":"10.1136/bmj.331.7514.456-a","title":"Dissemination of results needs to be tracked as well as the funding is","year":2005,"lang":"en","type":"letter","venue":"BMJ","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Data science; Computer science; World Wide Web","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":[0.3027993,0.003807582,0.01648611,0.01306579,0.005674262,0.04854074,0.009417134,0.04481506,0.2049849],"category_scores_gemma":[0.6603502,0.005269811,0.01457837,0.01481903,0.008849115,0.0512928,0.02382927,0.03371112,0.2593081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01261226,"about_ca_system_score_gemma":0.09185307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007205489,"about_ca_topic_score_gemma":0.003682571,"domain_scores_codex":[0.6259246,0.1752576,0.069971,0.01818024,0.09912749,0.01153898],"domain_scores_gemma":[0.1971011,0.2663213,0.05012178,0.1183241,0.3329271,0.03520454],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007190711,0.00009052154,0.0004177486,0.008015047,0.0003005372,0.00009661844,0.000261476,0.0001192611,0.0003057828,0.005456654,0.8219256,0.1622916],"study_design_scores_gemma":[0.001120384,0.0001762608,0.001686861,0.02544109,0.0002224736,0.0001318526,0.0005033595,0.0003445406,0.000163861,0.01313837,0.9568517,0.0002191977],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003194198,0.02577799,0.005513483,0.6603361,0.2613828,0.002916832,0.004553879,0.003584485,0.03561487],"genre_scores_gemma":[0.01773816,0.0750927,0.06018979,0.5238855,0.1501611,0.01763641,0.01506124,0.008146253,0.132089],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.6972007,"threshold_uncertainty_score":0.8597726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.142013397745796,"score_gpt":0.4809449706616735,"score_spread":0.3389315729158775,"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."}}