{"id":"W2953620536","doi":"10.3390/bioengineering6030056","title":"Sources of Collagen for Biomaterials in Skin Wound Healing","year":2019,"lang":"en","type":"review","venue":"Bioengineering","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":320,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wound healing; Biomedical engineering; Medicine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004115375,0.0002582787,0.001088781,0.000336658,0.0000280364,0.00008663509,0.0002126758,0.0002257785,0.000138079],"category_scores_gemma":[0.00005464455,0.0002418294,0.0001807892,0.0002988113,0.00001509232,0.0001062907,0.00004714535,0.00002417754,0.00004715901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001132975,"about_ca_system_score_gemma":0.0001147584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002073788,"about_ca_topic_score_gemma":0.000005278826,"domain_scores_codex":[0.9985012,0.00004515142,0.0007698396,0.0003005727,0.0001310118,0.000252245],"domain_scores_gemma":[0.999173,0.0001223946,0.0003887135,0.0002351531,0.00003979085,0.00004098305],"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":[0.00004435564,0.0001151483,0.000006539865,0.1302411,0.00008566583,0.000008275374,0.0004641325,0.0007560499,0.6088482,0.0002696772,0.0001402079,0.2590207],"study_design_scores_gemma":[0.0002104217,0.00003675865,0.0000114384,0.005182426,0.0001064433,0.00001403518,0.00002753661,0.0001995753,0.02080522,0.000002400732,0.9730473,0.0003564172],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01682797,0.9771565,0.00160742,0.000006739918,0.002321364,0.00162268,0.0003295451,0.00009234202,0.00003545119],"genre_scores_gemma":[0.0028331,0.9949949,0.001116415,0.000006348885,0.0003453828,0.0002112252,0.000165349,0.00008722056,0.0002400047],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9729071,"threshold_uncertainty_score":0.9861517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05943202269871035,"score_gpt":0.321668892886722,"score_spread":0.2622368701880117,"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."}}