{"id":"W4318999647","doi":"10.1016/j.bprint.2023.e00260","title":"In situ 3D bioprinting: A promising technique in advanced biofabrication strategies","year":2023,"lang":"en","type":"article","venue":"Bioprinting","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; University of Saskatchewan; Université de Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Biofabrication; 3D bioprinting; Regenerative medicine; In situ; Transplantation; Regeneration (biology); Tissue engineering; Computer science; Nanotechnology; Biomedical engineering; Engineering; Materials science; Medicine; Stem cell; Biology; Chemistry; Surgery","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":[0.0003879627,0.0006544889,0.0005287207,0.0004676562,0.0003258252,0.001140122,0.0006749597,0.001068986,0.001725733],"category_scores_gemma":[0.0003523168,0.0003718515,0.0005051064,0.0005187329,0.0004891351,0.0008125044,0.0006382951,0.001045279,0.0008157853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003774267,"about_ca_system_score_gemma":0.0001950843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002079547,"about_ca_topic_score_gemma":0.0003686258,"domain_scores_codex":[0.9996939,0.00003978403,0.00001492448,0.00007250357,0.0001347369,0.00004418684],"domain_scores_gemma":[0.9997417,0.00008953783,0.00007409911,0.00004588601,0.00002843047,0.00002017734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002663442,0.00002678913,0.00006515512,0.0001873863,0.000007846689,0.00009938618,0.00005900055,0.0004434551,0.9836199,0.002121147,0.0003047264,0.01303849],"study_design_scores_gemma":[0.000005813864,0.00007462747,0.0002961329,0.00001845638,0.00001614365,0.0004165074,0.00002561457,0.002583761,0.979593,0.0009965942,0.01595555,0.00001781645],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.3188361,0.03975562,0.5990196,0.001326426,0.001008998,0.0001758066,0.0007070402,0.001713092,0.03745735],"genre_scores_gemma":[0.7705841,0.02528109,0.1822776,0.0006382851,0.0002842055,0.0001928324,0.0005775876,0.0004700807,0.01969419],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.001725733,"threshold_uncertainty_score":0.005773127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01918417706213177,"score_gpt":0.3038508304951074,"score_spread":0.2846666534329756,"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."}}