{"id":"W2581692952","doi":"10.1016/j.ymthe.2016.12.015","title":"Cone Genesis Tracing by the Chrnb4-EGFP Mouse Line: Evidences of Cellular Material Fusion after Cone Precursor Transplantation","year":2017,"lang":"en","type":"article","venue":"Molecular Therapy","topic":"Retinal Development and Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine","funders":"École Polytechnique Fédérale de Lausanne; Ludwig Institute for Cancer Research; Centre Hospitalier Universitaire Vaudois; Novartis Foundation; Bayer; Cancer Research Institute","keywords":"Transplantation; Cone (formal languages); Green fluorescent protein; Biology; Fusion; Tracing; Pathology; Cell biology; Virology; Medicine; Genetics; Computer science; Gene; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001947874,0.0001731626,0.0001555775,0.0000216086,0.0001686827,0.00007658204,0.0003233381,0.0001258413,0.00005917872],"category_scores_gemma":[0.00001761339,0.0001277415,0.0001033706,0.00002593511,0.0001489036,0.00001102347,0.00003163891,0.00004597304,0.000004993605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004179532,"about_ca_system_score_gemma":0.00003400317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007247722,"about_ca_topic_score_gemma":0.00001254794,"domain_scores_codex":[0.9990532,0.00008937615,0.0002233189,0.0002656651,0.0001894676,0.0001790012],"domain_scores_gemma":[0.9993149,0.000007622234,0.0001740395,0.0003989835,0.00006539343,0.00003905503],"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":[0.0009645931,0.0000459865,0.001054735,0.00003138402,0.00006206247,0.000007111063,0.0001898984,0.00001043422,0.9941652,0.000006617549,0.0001449383,0.003317021],"study_design_scores_gemma":[0.0008415657,0.0002174197,0.002160623,0.00002767584,0.00002431734,0.000003775909,0.00004265812,0.00001718652,0.9945528,0.00003441473,0.001901635,0.00017592],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990855,0.004611443,0.003550829,0.0003194892,0.0001368643,0.0003183876,0.0000388549,0.000007940233,0.0001611973],"genre_scores_gemma":[0.9940943,0.004791793,0.0002000161,0.0002004135,0.00005735558,0.00005456206,0.0001747961,0.00002418569,0.0004025529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003350813,"threshold_uncertainty_score":0.5209146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009441038464379591,"score_gpt":0.2434160212680183,"score_spread":0.2339749828036387,"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."}}