{"id":"W2995919145","doi":"10.1101/2019.12.21.884973","title":"Quantifiable <i>In Vivo</i> Imaging Biomarkers of Retinal Regeneration by Photoreceptor Cell Transplantation","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bayer (Canada)","funders":"Shulsky Foundation; Research to Prevent Blindness; Foundation Fighting Blindness","keywords":"Retinal; Transplantation; Retinal regeneration; Retina; Photoreceptor cell; Biomarker; Medicine; Pathology; Imaging biomarker; Ex vivo; Retinal degeneration; In vivo; Ophthalmology; Biology; Magnetic resonance imaging; Radiology; Surgery; Neuroscience","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":[0.000774037,0.0006233669,0.0003306265,0.0006180851,0.0001478757,0.0007922295,0.0002359549,0.0004185217,0.0008962798],"category_scores_gemma":[0.0004260209,0.0001783555,0.0002807025,0.0002788781,0.0003583811,0.000551123,0.0003353674,0.0006370224,0.000325627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004719551,"about_ca_system_score_gemma":0.0003396282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007253019,"about_ca_topic_score_gemma":0.0008994644,"domain_scores_codex":[0.999686,0.00004766722,0.00003677611,0.00008313905,0.00009516779,0.00005120769],"domain_scores_gemma":[0.9994928,0.0000580464,0.000222772,0.00004818797,0.0001196794,0.00005850942],"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":[0.00005545355,0.00002122018,0.001034739,0.00004278405,0.000004620884,0.00001308552,0.00001213382,0.0000876269,0.9964103,0.00004328198,0.00003411888,0.002240537],"study_design_scores_gemma":[0.000005520898,0.0003264978,0.009521184,0.000009364899,0.00002465652,0.0001164124,0.00003131945,0.001473111,0.9878755,0.00005164517,0.0005547787,0.00001001925],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9353407,0.002381265,0.05811487,0.000118486,0.00003992072,0.000176751,0.0007097346,0.0007300014,0.00238829],"genre_scores_gemma":[0.9610494,0.001217234,0.03398439,0.00007725539,0.00002127344,0.0002316359,0.0005603326,0.0001110153,0.002747436],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008962798,"threshold_uncertainty_score":0.004093587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004908343370903123,"score_gpt":0.1958392540530928,"score_spread":0.1909309106821897,"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."}}