{"id":"W2592344605","doi":"","title":"THE CEMENTED FEMORAL STEM: AN OPTIMAL HYBRID SOLUTION","year":2018,"lang":"en","type":"article","venue":"","topic":"Hermeneutics and Narrative Identity","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen Elizabeth II Health Sciences Centre","funders":"","keywords":"Survivorship curve; Fixation (population genetics); Implant; Medicine; Osteolysis; Surgery; Dentistry; Population","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":[0.0005192779,0.0006952013,0.0007391347,0.00101677,0.0003724126,0.001687429,0.0009798225,0.002126223,0.006778712],"category_scores_gemma":[0.000886711,0.0003917659,0.000395753,0.0004858287,0.000652531,0.002293312,0.001146929,0.001009344,0.002681711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000381527,"about_ca_system_score_gemma":0.0004703942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000209075,"about_ca_topic_score_gemma":0.0008015617,"domain_scores_codex":[0.9996377,0.00005174382,0.00002297737,0.00007363923,0.0001818186,0.00003208046],"domain_scores_gemma":[0.9998304,0.00005293403,0.00002854444,0.00001536038,0.00004199328,0.00003092678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006310652,0.0003690067,0.003394538,0.002480237,0.0001982004,0.002812734,0.000228807,0.03083167,0.0842075,0.06803115,0.01823501,0.7885801],"study_design_scores_gemma":[0.0005223051,0.005620619,0.007569373,0.002694226,0.0005545669,0.04885877,0.001384263,0.1246838,0.04426306,0.284121,0.4793726,0.0003554295],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1034647,0.1524345,0.684728,0.01907259,0.00227095,0.00025721,0.000400085,0.001100172,0.03627186],"genre_scores_gemma":[0.5680919,0.03897407,0.3725705,0.004353323,0.002407077,0.0002081865,0.0003902061,0.0002206435,0.01278408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006778712,"threshold_uncertainty_score":0.02267706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05994152100801568,"score_gpt":0.2645709689199031,"score_spread":0.2046294479118874,"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."}}