{"id":"W6930852532","doi":"10.5281/zenodo.14145821","title":"TIMCI Hospital Cost Data Senegal","year":2024,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Institution; Referral; Cost control; Data collection; Cost database; Cost centre","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":[],"consensus_categories":[],"category_scores_codex":[0.0008565497,0.001919659,0.001174264,0.008577055,0.0004230634,0.001887021,0.001590414,0.0009963864,0.05904081],"category_scores_gemma":[0.006944683,0.0007039926,0.001226085,0.0230082,0.0002635648,0.0006300281,0.001098032,0.0009840408,0.03612043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002186706,"about_ca_system_score_gemma":0.004601962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1529175,"about_ca_topic_score_gemma":0.1482872,"domain_scores_codex":[0.9988582,0.0001791034,0.0001846911,0.0002415982,0.000308565,0.0002279092],"domain_scores_gemma":[0.9971722,0.000492712,0.0006804524,0.0003486183,0.001055851,0.0002502743],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003986683,0.00005567004,0.008831724,0.0009592489,0.000255944,0.0001013991,0.00003774145,0.001662467,0.00009331242,0.0005943872,0.9799514,0.007058038],"study_design_scores_gemma":[0.0008558048,0.00008831074,0.1160697,0.001175047,0.0002927423,0.000295359,0.0003439444,0.001666226,0.0006823858,0.0008930269,0.8775481,0.00008933893],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005140901,0.00006104385,0.00001360206,0.00003546332,0.00000639024,0.000007816138,0.9987482,0.00003534814,0.0005780836],"genre_scores_gemma":[0.002091575,0.000148576,0.0000848878,0.00003657527,0.000007554309,0.0001152922,0.9961032,0.00003197118,0.001380432],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1529175,"threshold_uncertainty_score":0.3040549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03780862300051733,"score_gpt":0.3025046685576712,"score_spread":0.2646960455571538,"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."}}