{"id":"W4324311216","doi":"10.1080/17474086.2023.2181781","title":"Building the foundation for a community-generated national research blueprint for inherited bleeding disorders: facilitating research through infrastructure, workforce, resources and funding","year":2023,"lang":"en","type":"article","venue":"Expert Review of Hematology","topic":"Hemophilia Treatment and Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Hemophilia Society","funders":"National Hemophilia Foundation","keywords":"Blueprint; Medicine; Workforce; Multidisciplinary approach; Summit; Capacity building; Workforce development; Medical education; Public relations; Nursing; Political science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.01169001,0.0001544,0.0005269483,0.0004149735,0.001441819,0.00004633827,0.0002591319,0.0001342024,0.00002934037],"category_scores_gemma":[0.01244144,0.0001015852,0.0001160656,0.001512085,0.0006248229,0.0001086697,0.0002915122,0.0006795934,0.000005771053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001666222,"about_ca_system_score_gemma":0.0002032606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008156272,"about_ca_topic_score_gemma":0.00001706795,"domain_scores_codex":[0.9965008,0.001098186,0.0005626247,0.0003166673,0.0008848097,0.0006368748],"domain_scores_gemma":[0.9892644,0.008603601,0.0001026362,0.000312576,0.001639953,0.00007685164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002359387,0.0007982803,0.01573678,0.09234555,0.001484474,0.00001895823,0.06901143,0.00004950415,0.07822157,0.2740005,0.1385096,0.3274639],"study_design_scores_gemma":[0.006233463,0.002906245,0.002108893,0.03397092,0.0001008836,0.000229301,0.04780042,0.01542617,0.01305725,0.1535975,0.7239583,0.0006106512],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8886763,0.07325736,0.002342195,0.02611145,0.0001611107,0.007418972,0.00002749512,0.0001204883,0.001884611],"genre_scores_gemma":[0.9009084,0.06137694,0.03258149,0.0004875179,0.0003624686,0.003486717,0.000330339,0.00007796564,0.0003881697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5854487,"threshold_uncertainty_score":0.9998581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2661515573925404,"score_gpt":0.5173313830945768,"score_spread":0.2511798257020365,"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."}}