{"id":"W2900628569","doi":"10.1021/acsbiomaterials.8b01319","title":"Biomaterials Going Strong in Canada for Half a Century","year":2018,"lang":"en","type":"article","venue":"ACS Biomaterials Science & Engineering","topic":"Orthopaedic implants and arthroplasty","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"","keywords":"Materials science; Nanotechnology; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006040224,0.0001886526,0.0003285722,0.0002320054,0.0001377514,0.00009990762,0.0001755431,0.00004370325,0.00007049999],"category_scores_gemma":[0.0002088578,0.0001429798,0.00002753925,0.0003760378,0.000152336,0.0002534167,0.00008741927,0.00001585377,0.00001266173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003396812,"about_ca_system_score_gemma":0.0009783856,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06797204,"about_ca_topic_score_gemma":0.03941951,"domain_scores_codex":[0.9981714,0.000008949352,0.0004019875,0.0003658909,0.0003182993,0.0007334703],"domain_scores_gemma":[0.9993773,0.00003749071,0.00007701966,0.0002384545,0.00008068378,0.000189108],"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":[0.00003676816,0.00001157783,0.00175916,0.00004753517,0.000006052818,0.00002462009,0.0001164291,0.00001363064,0.9964818,0.0002092926,0.00006212587,0.001230946],"study_design_scores_gemma":[0.0007287373,0.000126702,0.02391424,0.0002087342,0.00001177209,0.0001094455,0.0001185104,0.0006670204,0.9661569,0.00000246235,0.007752182,0.0002032686],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957048,0.00004477742,0.0002720256,0.0001405749,0.003244758,0.0004090392,0.00006334816,0.00006911215,0.00005150923],"genre_scores_gemma":[0.9973125,0.00001356979,0.002023711,0.00008285716,0.0005045557,0.0000131109,0.00001281809,0.00002386797,0.00001299857],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03032493,"threshold_uncertainty_score":0.9781086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229711110687898,"score_gpt":0.2459097638610709,"score_spread":0.233612652754192,"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."}}