{"id":"W3163548596","doi":"10.1016/s146532492100517x","title":"3D-mapping of mesenchymal stem cells growth on bioengineered scaffolds for maxillofacial skeleton regeneration: a preclinical, in vitro study","year":2021,"lang":"en","type":"article","venue":"Cytotherapy","topic":"Dental Implant Techniques and Outcomes","field":"Dentistry","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto General Hospital; University Health Network","funders":"","keywords":"Mesenchymal stem cell; Regeneration (biology); In vitro; Cell biology; Skeleton (computer programming); Stem cell; Anatomy; Chemistry; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003491878,0.0003373554,0.0001959695,0.0004381586,0.000254675,0.0003569235,0.0002112675,0.0004689466,0.001415834],"category_scores_gemma":[0.0002094187,0.0002051289,0.0002755139,0.000369008,0.000362733,0.0002783572,0.0001970488,0.0002990245,0.0003116516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002446938,"about_ca_system_score_gemma":0.0002919504,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002030171,"about_ca_topic_score_gemma":0.003515814,"domain_scores_codex":[0.9998046,0.00002073881,0.00001457294,0.0000378947,0.00009050268,0.00003181318],"domain_scores_gemma":[0.9997354,0.0001091834,0.00005107312,0.00003318087,0.00005212566,0.00001901456],"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":[0.00006759546,0.00005933522,0.0003410186,0.0000493485,0.000003035859,0.00006413642,0.00008366051,0.0003488382,0.9961584,0.0001281364,0.0000241371,0.002672383],"study_design_scores_gemma":[0.00001308292,0.0002436876,0.007678561,0.00000647044,0.00002144988,0.0001889118,0.0001016378,0.002405778,0.9877133,0.00006162299,0.001555771,0.000009690687],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9745463,0.001791101,0.0182645,0.00005667194,0.00004991489,0.00009936924,0.0003009022,0.0001118263,0.004779268],"genre_scores_gemma":[0.9801269,0.0008523495,0.01544674,0.00003594067,0.00001424189,0.0000950177,0.0001826656,0.00003273656,0.003213514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002030171,"threshold_uncertainty_score":0.004736483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05125010733736766,"score_gpt":0.3286600471612344,"score_spread":0.2774099398238667,"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."}}