{"id":"W7046635775","doi":"","title":"Developing rank-based classifiers for hip fracture prediction","year":2024,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Random forest; Sampling (signal processing); Big data; Artificial neural network; Ranking (information retrieval); Robustness (evolution); Binary classification; Precision and recall; Field (mathematics); Data sampling; Data pre-processing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004760981,0.0009445017,0.001224241,0.002196974,0.0005460657,0.001647051,0.001401592,0.001009151,0.001804739],"category_scores_gemma":[0.01309607,0.0004465375,0.001004014,0.001321321,0.0005402978,0.001530605,0.001207792,0.001629574,0.001359058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012652,"about_ca_system_score_gemma":0.001507424,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003552178,"about_ca_topic_score_gemma":0.00429616,"domain_scores_codex":[0.9977567,0.0007822594,0.0001644119,0.0003108169,0.0007968213,0.0001890708],"domain_scores_gemma":[0.994635,0.002936327,0.0004538952,0.0003619655,0.001475068,0.0001377063],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000212373,0.0001680138,0.008041274,0.0001880236,0.0001739154,0.0000736627,0.0001616135,0.2160126,0.002908625,0.01573954,0.008588175,0.7477323],"study_design_scores_gemma":[0.00001032187,0.00008391158,0.001102046,0.00003106464,0.00002301419,0.00003961442,0.00003606081,0.9834633,0.001724232,0.01085054,0.002620547,0.00001531324],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02809299,0.002061186,0.9653283,0.000565344,0.0001471021,0.0001263989,0.0003318135,0.0006568451,0.002690033],"genre_scores_gemma":[0.4698502,0.00263408,0.5162106,0.0004340692,0.0008661383,0.0003532464,0.002190119,0.0001429177,0.007318588],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004760981,"threshold_uncertainty_score":0.02517879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01874044458009177,"score_gpt":0.2429413783300088,"score_spread":0.224200933749917,"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."}}