{"id":"W2993507897","doi":"","title":"Mouse ELOVL4 - Genomic Organization, Spatial and Temporal Expression","year":2003,"lang":"en","type":"article","venue":"Investigative Ophthalmology & Visual Science","topic":"Single-cell and spatial transcriptomics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Expression (computer science); Cell biology; Biology; Computational biology; Computer science","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":[0.0003349882,0.0001853247,0.0001506983,0.00007012724,0.000373541,0.0000520633,0.0002460514,0.0001467776,0.00005720058],"category_scores_gemma":[0.0005337732,0.0001710733,0.00002353298,0.0003106478,0.002128622,0.00001980515,0.0001164149,0.0001109168,0.00001188318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002662642,"about_ca_system_score_gemma":0.0003270114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008790296,"about_ca_topic_score_gemma":0.000006580023,"domain_scores_codex":[0.9985676,0.0001386796,0.0002041098,0.0005979149,0.0001631272,0.000328557],"domain_scores_gemma":[0.9992737,0.00001544452,0.00009529221,0.0001968757,0.0001894096,0.0002292708],"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":[0.00001059931,0.00004473235,0.1910386,0.000003815798,0.000004490712,0.000006992558,0.000128554,0.000006713341,0.808642,0.0000378319,0.00003036879,0.00004528542],"study_design_scores_gemma":[0.00032424,0.0003423134,0.03550642,0.000006694349,0.00000545339,0.0001232792,0.00006673858,0.00003697712,0.9627908,0.0003556199,0.0002345828,0.0002068746],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987843,0.00009634305,0.0002491907,0.0000498601,0.0001985386,0.0001555822,0.000006303817,0.00001527904,0.0004445893],"genre_scores_gemma":[0.9967673,0.00001137226,0.002617829,0.0002003036,0.00006871387,0.000006956198,0.0000284268,0.00002133372,0.0002777454],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1555322,"threshold_uncertainty_score":0.7842998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02112986733352577,"score_gpt":0.2741089730196085,"score_spread":0.2529791056860827,"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."}}