{"id":"W1954719975","doi":"10.3233/bme-140979","title":"Riboflavin-sensitized photo-crosslinking of collagen using a dental curing light","year":2014,"lang":"en","type":"article","venue":"Bio-Medical Materials and Engineering","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Riboflavin; Curing (chemistry); Chemistry; Photosensitizer; Biomaterial; Dentistry; Materials science; Biomedical engineering; Polymer chemistry; Biochemistry; Organic chemistry; Medicine","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":[0.0005938091,0.0001647682,0.0003258341,0.00008450826,0.0001035135,0.0001395878,0.000110026,0.0001461195,0.0008836341],"category_scores_gemma":[0.0001848535,0.0001546882,0.00003639522,0.0001118431,0.00004488372,0.0001472042,0.0001056294,0.00004090133,0.00001498599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000326058,"about_ca_system_score_gemma":0.00002967746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005427853,"about_ca_topic_score_gemma":0.000003837322,"domain_scores_codex":[0.9986838,0.00004732754,0.0004434378,0.0002400612,0.0003209293,0.0002644388],"domain_scores_gemma":[0.9994682,0.00005322636,0.0001345012,0.0001372697,0.000041907,0.0001648629],"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":[0.00002890651,0.00001843683,0.0001077397,0.0001472547,0.000006088528,0.000008008977,0.0001059119,0.00003350142,0.9990941,0.0001531639,0.000008409269,0.0002884624],"study_design_scores_gemma":[0.0004843883,0.00002621574,0.00191224,0.0002342919,0.00001752727,0.00007060904,0.00003169975,0.00545861,0.9898223,0.000008849464,0.001743817,0.0001894447],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930676,0.00004433548,0.005214033,0.00005206439,0.001327397,0.0001197215,0.00001881899,0.000101823,0.00005427038],"genre_scores_gemma":[0.9982838,0.00003159833,0.001144414,0.00005640289,0.0004243643,0.000006077842,0.00001185429,0.00002534323,0.00001613461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009271809,"threshold_uncertainty_score":0.9675174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006853869814994975,"score_gpt":0.2180703549220535,"score_spread":0.2112164851070585,"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."}}