{"id":"W4416280547","doi":"10.37811/cl_rcm.v9i5.20591","title":"Biomateriales y Regeneración Tisular","year":2025,"lang":"","type":"article","venue":"Ciencia Latina Revista Científica Multidisciplinar","topic":"Bone Tissue Engineering Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Elderly people; Free access","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.001452102,0.001344512,0.001577233,0.0009627604,0.0008933853,0.00107845,0.001541291,0.0006365689,0.0006391864],"category_scores_gemma":[0.0004775744,0.001467477,0.0004586366,0.002862248,0.0004834085,0.0005554922,0.001058248,0.0004786326,0.0009509263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008252003,"about_ca_system_score_gemma":0.0002670187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001579263,"about_ca_topic_score_gemma":0.000005221281,"domain_scores_codex":[0.993242,0.0002687367,0.002159506,0.001711261,0.0007883222,0.001830168],"domain_scores_gemma":[0.996409,0.0001884169,0.0003917254,0.002250188,0.0002917796,0.0004688676],"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":[0.00007214677,0.0003107826,0.0005382347,0.003669151,0.0002339086,0.0001327519,0.001550387,0.01226292,0.9432244,0.02425613,0.005195782,0.0085534],"study_design_scores_gemma":[0.003738662,0.0003462116,0.03461816,0.006243552,0.0009482289,0.00007831456,0.0007280417,0.138394,0.5165108,0.0004946323,0.2931187,0.004780706],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9503115,0.009503701,0.01930145,0.0005365605,0.007760095,0.002071444,0.0005175672,0.001564547,0.00843313],"genre_scores_gemma":[0.9850005,0.000651241,0.008100146,0.00002820228,0.0006133702,0.0001654702,0.000134671,0.0002255966,0.00508079],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4267136,"threshold_uncertainty_score":0.9999585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01280305594424608,"score_gpt":0.2620348511871686,"score_spread":0.2492317952429225,"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."}}