{"id":"W4389155011","doi":"10.20944/preprints202311.1884.v1","title":"3D Printing Methods for Bioceramic-Based Scaffold Fabrication for Craniomaxillofacial Bone Tissue Engineering","year":2023,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; Dalhousie University","funders":"","keywords":"Bioceramic; Osseointegration; Biomedical engineering; Biocompatibility; Materials science; Scaffold; Bone tissue; 3D printing; Implant; Bone growth; Dentistry; Three dimensional printing; Nanotechnology; Medicine; Surgery; Composite material","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":[0.0004743038,0.0008110073,0.0004165904,0.001191249,0.0002181613,0.0005992725,0.0004639571,0.0008367558,0.002532419],"category_scores_gemma":[0.0004054408,0.000650178,0.0009261086,0.0008555252,0.0002682582,0.0005055117,0.0004074158,0.00103935,0.001706739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003907871,"about_ca_system_score_gemma":0.0003067667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002643774,"about_ca_topic_score_gemma":0.0007330991,"domain_scores_codex":[0.9995162,0.00004282252,0.00006274779,0.00007275706,0.0002750519,0.00003037342],"domain_scores_gemma":[0.9998221,0.000058874,0.00005109367,0.00002890184,0.00003215484,0.000006910544],"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":[0.00002597292,0.00004654684,0.0001426277,0.00156775,0.00004046884,0.0004052868,0.00009801855,0.001634892,0.8951065,0.002676644,0.001850022,0.09640535],"study_design_scores_gemma":[0.00001800879,0.0001762281,0.001229075,0.0001374221,0.00007165729,0.001891588,0.00002419237,0.005951732,0.8843029,0.001068812,0.1050637,0.00006466231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07597908,0.1326531,0.7546263,0.000598769,0.001345744,0.0006002841,0.001294917,0.003145897,0.0297559],"genre_scores_gemma":[0.3261634,0.09419867,0.5638616,0.0005902774,0.0002841348,0.00108481,0.001248887,0.0003927042,0.01217544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002532419,"threshold_uncertainty_score":0.008471787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1051595406166697,"score_gpt":0.3679746649348513,"score_spread":0.2628151243181815,"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."}}