{"id":"W4406432314","doi":"10.1016/j.yort.2015.01.014","title":"10.1016/j.yort.2015.01.014","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Medicine; Lexicon; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005113936,0.000901211,0.0004561482,0.001129714,0.0007438145,0.001981943,0.000748632,0.002778245,0.868162],"category_scores_gemma":[0.001144565,0.000364694,0.0005162556,0.0004843724,0.0007390657,0.001786003,0.000905752,0.001117471,0.7491943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005873294,"about_ca_system_score_gemma":0.0009092487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001667976,"about_ca_topic_score_gemma":0.002342168,"domain_scores_codex":[0.9998004,0.00001678554,0.0000173616,0.00005284579,0.00005934906,0.00005320736],"domain_scores_gemma":[0.9994221,0.0001169015,0.00008716846,0.00002707648,0.0001192371,0.0002275093],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000397788,0.0003520426,0.006834225,0.0007212593,0.00004770104,0.0007580486,0.0001865248,0.0002104946,0.001254777,0.005219685,0.2410205,0.7429969],"study_design_scores_gemma":[0.0001000264,0.0002350033,0.009674763,0.001652398,0.00006405599,0.006353965,0.0005302017,0.000287929,0.0006127075,0.005148037,0.9753058,0.0000351192],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01035703,0.02192703,0.002614372,0.008649172,0.00267287,0.0001015883,0.002229824,0.001320172,0.9501279],"genre_scores_gemma":[0.02331677,0.008044099,0.001883231,0.002168905,0.000824545,0.00008578537,0.001321646,0.0002069267,0.9621481],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.131838,"threshold_uncertainty_score":0.1880509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006757213830587532,"score_gpt":0.2041440718346262,"score_spread":0.1973868580040387,"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."}}