{"id":"W4408851833","doi":"10.3138/cjgim.20.1.news","title":"<u>CSIM Awards, Abstracts and Funding</u>","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of General Internal Medicine","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Family medicine; Library science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006047275,0.0008219249,0.00169564,0.003560441,0.002835487,0.004414694,0.002448261,0.002993785,0.4472931],"category_scores_gemma":[0.03071794,0.0004744267,0.001311505,0.002976897,0.0009097335,0.001621646,0.004510047,0.00346316,0.1660648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01508639,"about_ca_system_score_gemma":0.06735018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.137879,"about_ca_topic_score_gemma":0.2609839,"domain_scores_codex":[0.9919897,0.000564784,0.0003299874,0.0004021954,0.005219923,0.001493563],"domain_scores_gemma":[0.9449826,0.002009545,0.001096117,0.001499752,0.0315448,0.01886723],"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":[0.00005358545,0.00001272539,0.0001358429,0.0000694089,0.000006024823,0.00003440007,0.000008574653,0.00002585637,0.00006507877,0.001151028,0.9871236,0.01131384],"study_design_scores_gemma":[0.0001037137,0.00003069797,0.003781743,0.0001611771,0.00001792283,0.0001284553,0.000113198,0.000241806,0.000209876,0.001433135,0.9937546,0.00002362117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002449024,0.01026173,0.001354342,0.2735572,0.1622057,0.0005871331,0.07358905,0.001860983,0.4741349],"genre_scores_gemma":[0.02848514,0.008042305,0.004929792,0.03754799,0.0340497,0.0003119895,0.03857289,0.00174134,0.8463189],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4472931,"threshold_uncertainty_score":0.7883693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04143416713488925,"score_gpt":0.2389916593737663,"score_spread":0.197557492238877,"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."}}