{"id":"W2913206576","doi":"","title":"A Bioengineering Approach Towards Retina Regeneration","year":2018,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Institute for Regenerative Medicine; Krembil Foundation","keywords":"Regeneration (biology); Retina; Neuroscience; Computer science; Biology; Cell biology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003648265,0.0004584956,0.0002133706,0.000783512,0.0003259814,0.001077197,0.0004693405,0.001058359,0.001695819],"category_scores_gemma":[0.0002077014,0.000300813,0.0004664735,0.0003098746,0.0007294898,0.0007578867,0.0006267874,0.001319584,0.000848265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005546808,"about_ca_system_score_gemma":0.0005185911,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003191689,"about_ca_topic_score_gemma":0.0004248648,"domain_scores_codex":[0.9997517,0.00003377573,0.00001353426,0.00004904455,0.00012927,0.00002255592],"domain_scores_gemma":[0.9998879,0.00002692673,0.00002753284,0.00001660225,0.00002520654,0.0000157908],"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":[0.0000322168,0.00013809,0.0002427282,0.0006517249,0.00002720528,0.0003148185,0.0002266611,0.001669879,0.8629019,0.03482617,0.001374323,0.09759431],"study_design_scores_gemma":[0.00003440119,0.0009412511,0.001768838,0.0004086074,0.00006490066,0.002044642,0.0002067153,0.008296248,0.6903912,0.02228726,0.2734864,0.00006946231],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1407388,0.1554301,0.6201857,0.009392268,0.001494761,0.000370691,0.0002574216,0.001212999,0.07091718],"genre_scores_gemma":[0.5464888,0.1060149,0.2916882,0.00433987,0.0004754567,0.0005132932,0.00022131,0.0001805487,0.05007762],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001695819,"threshold_uncertainty_score":0.005673051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107002000677577,"score_gpt":0.2837289655049321,"score_spread":0.2726589454981563,"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."}}