{"id":"W4214567750","doi":"10.3390/md20030170","title":"Collagens from Marine Organisms towards Biomedical Applications","year":2022,"lang":"en","type":"editorial","venue":"Marine Drugs","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computational biology; Biology; Evolutionary biology","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":[0.005562746,0.003229201,0.002012117,0.002505599,0.002150762,0.004846401,0.002634181,0.009786713,0.007314132],"category_scores_gemma":[0.00889534,0.001233822,0.001952316,0.001270514,0.002127107,0.004592808,0.0016593,0.01540952,0.008560111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002130755,"about_ca_system_score_gemma":0.002627985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001411771,"about_ca_topic_score_gemma":0.004499121,"domain_scores_codex":[0.9969021,0.000428793,0.0004076409,0.0002779498,0.001813377,0.0001702288],"domain_scores_gemma":[0.9923134,0.002995044,0.0004311925,0.0002240704,0.002915883,0.00112039],"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":[0.00005426451,0.00001645469,0.00001388531,0.0006026045,0.00001971484,0.0001402327,0.00001683178,0.00004198703,0.0003509369,0.0007272531,0.9816211,0.01639469],"study_design_scores_gemma":[0.00002543931,0.00003232298,0.00009450175,0.0002592569,0.00001835364,0.0002013764,0.00001472852,0.00004849456,0.0002337977,0.0008972889,0.9981623,0.00001206462],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00005815597,0.03453001,0.0002298052,0.01835486,0.9438791,0.00003259732,0.00005476648,0.00004508308,0.002815588],"genre_scores_gemma":[0.0007596763,0.05684621,0.0003295059,0.02304338,0.8988996,0.00004027602,0.00007681665,0.00005243163,0.01995204],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.009786713,"threshold_uncertainty_score":0.029419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005249962342730684,"score_gpt":0.23936156498667,"score_spread":0.2341116026439393,"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."}}