{"id":"W2016576220","doi":"10.1034/j.1600-0501.2000.011006530.x","title":"Red blood cell and platelet interactions with titanium implant surfaces","year":2000,"lang":"en","type":"article","venue":"Clinical Oral Implants Research","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":299,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Implant; Fibrin; Platelet; Titanium; Biomedical engineering; Materials science; Osseointegration; Platelet-rich fibrin; Dentistry; Blood cell; Red blood cell; Chemistry; Surgery; Medicine; Metallurgy; Immunology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009020807,0.0001803043,0.0003676232,0.00009893602,0.00008032332,0.0001339677,0.0002068265,0.0001333415,0.001257218],"category_scores_gemma":[0.00005258864,0.0001475632,0.00002986047,0.0002480775,0.0001323769,0.0001773855,0.00005489757,0.000677221,0.0005059217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002170953,"about_ca_system_score_gemma":0.00002702262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007152872,"about_ca_topic_score_gemma":0.00006244858,"domain_scores_codex":[0.9982584,0.000148395,0.000436676,0.0003013338,0.0002810532,0.0005741746],"domain_scores_gemma":[0.998764,0.0005739066,0.00001870918,0.0003082225,0.00006345702,0.0002717251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003759679,0.002027646,0.01631217,0.002065784,0.001972395,0.007970849,0.001378427,0.02978352,0.3133131,0.0002412337,0.3714813,0.2496938],"study_design_scores_gemma":[0.01057717,0.003882087,0.08623987,0.0007837485,0.0001941817,0.005443757,0.0002536077,0.02275083,0.1614875,0.0003634884,0.7054412,0.002582524],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950421,0.0001787897,0.00001982368,0.00009999402,0.0003168508,0.0002349173,0.0001005738,0.0002677529,0.003739219],"genre_scores_gemma":[0.9952335,0.0008732588,0.0013989,0.00001136339,0.000155249,0.00001810833,0.00002752961,0.00005896752,0.002223068],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3339599,"threshold_uncertainty_score":0.9996558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09301386225722545,"score_gpt":0.3906212708163376,"score_spread":0.2976074085591121,"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."}}