{"id":"W6893324323","doi":"10.5281/zenodo.15421219","title":"giulianonetto/mcd-clinical-utility: 0.0.1","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Perspective (graphical); Identification (biology); Context (archaeology); Term (time)","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":[0.006630787,0.001165419,0.001154932,0.002802831,0.000471474,0.006271144,0.002404524,0.002273103,0.1261891],"category_scores_gemma":[0.03620155,0.0007848312,0.001328306,0.002713129,0.001197607,0.001902862,0.002440637,0.003042108,0.05979268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001916716,"about_ca_system_score_gemma":0.002699292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0024158,"about_ca_topic_score_gemma":0.002175572,"domain_scores_codex":[0.995032,0.002701061,0.0003533202,0.0005851808,0.001112676,0.0002158327],"domain_scores_gemma":[0.9818826,0.01087027,0.0013439,0.002168206,0.00211647,0.001618569],"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":[0.002389114,0.0001535154,0.006846241,0.001449257,0.0003315462,0.0002235309,0.0001197927,0.00361471,0.0009251283,0.04177245,0.601716,0.3404588],"study_design_scores_gemma":[0.001332646,0.0003336466,0.007843539,0.002007941,0.0003650663,0.001760825,0.00008408086,0.02224483,0.003963972,0.1406551,0.819274,0.0001343011],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.0179066,0.02862241,0.158251,0.04917287,0.002234369,0.002108888,0.08034983,0.03351799,0.627836],"genre_scores_gemma":[0.2715322,0.01418878,0.3833783,0.01536907,0.004119331,0.003401055,0.06866059,0.03764454,0.2017062],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1261891,"threshold_uncertainty_score":0.4221446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06039207666377996,"score_gpt":0.3079126546326072,"score_spread":0.2475205779688272,"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."}}