{"id":"W2789898034","doi":"10.21037/aes.2018.ab046","title":"AB046. The retinoblastoma model for translational research","year":2018,"lang":"en","type":"article","venue":"Annals of Eye Science","topic":"Neuroblastoma Research and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier Universitaire Sainte-Justine; Hôpital Maisonneuve-Rosemont; Université de Montréal","funders":"","keywords":"Retinoblastoma; Preclinical testing; Pharmacodynamics; Pharmacokinetics; Medicine; Fundus (uterus); Computer science; In vivo; Translational research; Human disease; Pharmacology; Computational biology; Medical physics; Pathology; Biotechnology; Ophthalmology; Biology; Disease","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":[0.001925684,0.00005953688,0.0000956873,0.0001807165,0.0004461675,0.00002447267,0.0003155341,0.00002187999,0.00004214494],"category_scores_gemma":[0.0006573502,0.00003600853,0.00006256584,0.000749099,0.002541225,0.0001462532,0.00005203259,0.0001127508,0.00004145791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008551135,"about_ca_system_score_gemma":0.0005988943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001216676,"about_ca_topic_score_gemma":0.00001264601,"domain_scores_codex":[0.998014,0.00003344068,0.0001396412,0.0002564041,0.001088966,0.0004675922],"domain_scores_gemma":[0.9977335,0.0002081187,0.00002989152,0.0003180291,0.00154617,0.0001642695],"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":[0.005978286,0.00170928,0.007770786,0.0002292389,0.0001487494,0.00003186246,0.005944202,0.0002254803,0.7991803,0.0541738,0.0550802,0.0695278],"study_design_scores_gemma":[0.001536859,0.004619654,0.06963926,0.000132646,0.00001435682,0.00001707124,0.00009632287,0.2250935,0.6682955,0.02653727,0.003889508,0.0001280883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716638,0.0000508636,0.001164453,0.01748807,0.00004020792,0.0006083127,0.000024039,0.00001388787,0.00894638],"genre_scores_gemma":[0.9960611,0.00001625511,0.001501367,0.0003624794,0.00008575511,0.00002922591,0.000001352604,0.000006487704,0.001935968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.224868,"threshold_uncertainty_score":0.9363249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3763959792065565,"score_gpt":0.5465221620593291,"score_spread":0.1701261828527726,"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."}}