{"id":"W2005539483","doi":"10.1002/mabi.200500102","title":"Preparation of Ready‐to‐use, Stockable and Reconstituted Collagen","year":2005,"lang":"en","type":"article","venue":"Macromolecular Bioscience","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":80,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Stock solution; Aqueous solution; Ultimate tensile strength; Homogeneous; Solvent; Chemistry; Fibroblast; Chemical engineering; Solubility; Materials science; Polymer chemistry; Composite material; Organic chemistry; In vitro; 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":[0.0006603854,0.0006040602,0.0003527618,0.0004147506,0.0002114037,0.0002783784,0.0004245994,0.0003570123,0.001909721],"category_scores_gemma":[0.0004889115,0.0002920049,0.0002766581,0.0003822161,0.0001698795,0.0002698615,0.0002280909,0.0006758232,0.001357064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001923208,"about_ca_system_score_gemma":0.0002409517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002458938,"about_ca_topic_score_gemma":0.0007094341,"domain_scores_codex":[0.9996833,0.00003891172,0.00005611132,0.00005728408,0.000125048,0.00003943255],"domain_scores_gemma":[0.9996114,0.00008620639,0.00008053632,0.0000733351,0.00009225464,0.00005622052],"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":[0.00002581647,0.00001527009,0.0000274156,0.00004669257,0.000002956331,0.00003716052,0.00001192447,0.00004078809,0.998287,0.00004487114,0.00005342094,0.001406658],"study_design_scores_gemma":[0.00002472157,0.0001362115,0.0005317612,0.00001122877,0.00001419964,0.0001250368,0.00001217553,0.0003115894,0.9919593,0.00002856346,0.006837221,0.000007915412],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8145192,0.009698378,0.1553198,0.0003394967,0.0005298269,0.0027735,0.007596255,0.0008574151,0.008366103],"genre_scores_gemma":[0.7200465,0.01136582,0.2323374,0.0002635187,0.0001533863,0.00204506,0.01574188,0.0004697603,0.01757681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001909721,"threshold_uncertainty_score":0.006388664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606699425238013,"score_gpt":0.2860712334830182,"score_spread":0.2700042392306381,"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."}}