{"id":"W4401811421","doi":"10.3390/md22090379","title":"Marine Collagen and Chitin: Promising Applications in Interdisciplinary Fields","year":2024,"lang":"en","type":"editorial","venue":"Marine Drugs","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Occupational Cancer Research Centre; University of Toronto","funders":"","keywords":"Chitin; Nanotechnology; Chemistry; Biochemical engineering; Materials science; Biochemistry; Engineering; Chitosan","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":[0.006850312,0.00349257,0.002447491,0.00327724,0.00238611,0.00596227,0.002876766,0.01361631,0.006509457],"category_scores_gemma":[0.01355862,0.001226732,0.002470562,0.001498051,0.003047267,0.005036245,0.001854712,0.02080444,0.007157206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002634629,"about_ca_system_score_gemma":0.003353474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001654157,"about_ca_topic_score_gemma":0.00545664,"domain_scores_codex":[0.9960513,0.0006317892,0.0005468134,0.0004473977,0.002087498,0.000235234],"domain_scores_gemma":[0.9874198,0.005488699,0.0005886062,0.0002725173,0.004432829,0.001797676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005010087,0.00001435877,0.00002358043,0.0004754055,0.00002012992,0.0001392829,0.00001645789,0.00002862109,0.0001801265,0.0006134639,0.9855288,0.01290965],"study_design_scores_gemma":[0.00003084293,0.00003596195,0.000157321,0.0003256428,0.00002733895,0.0002761582,0.00002577559,0.00006272126,0.00014818,0.001120757,0.9977731,0.00001610371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00003542674,0.02026659,0.0001506166,0.02527345,0.9527132,0.00002199245,0.00003357702,0.00003618268,0.001468958],"genre_scores_gemma":[0.0003978243,0.02492852,0.0002178602,0.02791483,0.9365542,0.00002528601,0.00003817144,0.00003141215,0.009891897],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01361631,"threshold_uncertainty_score":0.03622836,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004836948737558785,"score_gpt":0.2674745509221388,"score_spread":0.26263760218458,"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."}}