{"id":"W6930468630","doi":"10.5281/zenodo.14930463","title":"NERC-CEH/catalogue: Catalogue","year":2025,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Hip and Femur Fractures","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carbon Engineering (Canada)","funders":"","keywords":"Metadata; Identification (biology); Term (time); Relation (database)","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":[0.002618928,0.003544787,0.002771019,0.02036913,0.001673865,0.007398667,0.004364352,0.00392432,0.2601749],"category_scores_gemma":[0.007215261,0.001479911,0.001641577,0.02302656,0.001011446,0.006823671,0.003848898,0.002907438,0.4132766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003244998,"about_ca_system_score_gemma":0.00718331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03324229,"about_ca_topic_score_gemma":0.02248267,"domain_scores_codex":[0.9974705,0.0002879109,0.0005286475,0.000287357,0.001149463,0.0002761036],"domain_scores_gemma":[0.9936772,0.00106062,0.0003713643,0.001656438,0.002597844,0.0006365743],"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":[0.00009130425,0.0000499729,0.0002088501,0.001310679,0.00001740649,0.0000616376,0.00009493795,0.0003460038,0.0008400339,0.007482712,0.9451862,0.0443102],"study_design_scores_gemma":[0.0000195894,0.000006671094,0.0003464023,0.0001922811,0.000010595,0.00005844868,0.00003219508,0.0001753276,0.0004049765,0.001845203,0.9968843,0.00002398374],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0005556211,0.001225616,0.01076798,0.0004342676,0.0005871011,0.0003687311,0.8763584,0.01398603,0.09571633],"genre_scores_gemma":[0.0007350428,0.001214902,0.006203311,0.0001791516,0.00008977398,0.0002073473,0.9488682,0.003668401,0.03883398],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2601749,"threshold_uncertainty_score":0.8703718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02406936409027009,"score_gpt":0.2637039033841526,"score_spread":0.2396345392938825,"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."}}