{"id":"W2148069775","doi":"10.1002/jbm.a.31146","title":"Design of a biomimetic polymer‐composite hip prosthesis","year":2007,"lang":"en","type":"article","venue":"Journal of Biomedical Materials Research Part A","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Composite number; Polymer; Composite material; Prosthesis; Biomedical engineering; Computer science; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000192463,0.0003555925,0.0002988247,0.0003182082,0.0001561167,0.0002857271,0.000565342,0.000496069,0.0008098388],"category_scores_gemma":[0.0001964777,0.0002936361,0.0003039904,0.000120893,0.0002059709,0.0001679843,0.0002643656,0.0001789745,0.0003719715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001957089,"about_ca_system_score_gemma":0.0003682518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002215178,"about_ca_topic_score_gemma":0.0002492632,"domain_scores_codex":[0.9998484,0.00001240028,0.00001492462,0.00003150317,0.00007278151,0.00002001236],"domain_scores_gemma":[0.9998875,0.00001635166,0.00003151237,0.00001234578,0.00003146831,0.0000209268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002408156,0.0001002414,0.0007047009,0.0003063918,0.0000431869,0.0003058406,0.0000350797,0.02292764,0.9367284,0.001429866,0.0003027974,0.03687487],"study_design_scores_gemma":[0.0005325578,0.005587784,0.01655251,0.00006964114,0.0002864255,0.004886287,0.00005126369,0.2819534,0.6566896,0.001280452,0.03197559,0.0001343976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4800213,0.00202107,0.5093455,0.0002109586,0.0003813546,0.0004512131,0.0002661721,0.0009578713,0.006344501],"genre_scores_gemma":[0.7803162,0.0005148225,0.2155852,0.0001076408,0.00005650163,0.0002206294,0.0001585566,0.00003502466,0.003005452],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0008098388,"threshold_uncertainty_score":0.00270921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07863447614287751,"score_gpt":0.3786309371864794,"score_spread":0.2999964610436019,"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."}}