{"id":"W2034647375","doi":"10.1002/dvdy.21120","title":"Projecting 2D gene expression data into 3D and 4D space","year":2007,"lang":"en","type":"article","venue":"Developmental Dynamics","topic":"Cell Image Analysis Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Computer graphics (images); Computer vision; Animation; Scripting language; Texture mapping; Artificial intelligence","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":[0.0003190545,0.0001319393,0.00009936491,0.00006043961,0.0001297086,0.00004285673,0.0002525008,0.0001042152,0.000004142512],"category_scores_gemma":[0.00006736098,0.0001313912,0.00001800228,0.0001008567,0.000065658,0.00001102879,0.0009074965,0.00007616961,0.000002147304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005564481,"about_ca_system_score_gemma":0.00005645769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005590475,"about_ca_topic_score_gemma":0.000638239,"domain_scores_codex":[0.9990816,0.00001558898,0.0001828507,0.0004261142,0.0001108512,0.0001830075],"domain_scores_gemma":[0.9994738,0.000008757788,0.00006647976,0.0003567077,0.00003560362,0.00005868071],"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":[0.00002294133,0.00002937018,0.01243243,0.00001435155,0.00002844051,0.00001216602,0.0001256206,0.000001000845,0.9598306,0.00001124289,0.0005441407,0.02694764],"study_design_scores_gemma":[0.0001867977,0.00003372891,0.002340618,0.00001955512,0.00001639557,0.00005175333,0.0006092539,0.002794022,0.9857358,0.00003375956,0.007896083,0.0002821722],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8665485,0.0002298172,0.1312565,0.00001751357,0.00002001917,0.0001266012,0.00000515462,0.00003182632,0.001764021],"genre_scores_gemma":[0.6774962,0.0001429502,0.3205155,0.00009394337,0.00004582013,0.000003748527,0.001358878,0.00002004161,0.0003228865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.189259,"threshold_uncertainty_score":0.5357977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009751489846633443,"score_gpt":0.2761229788054544,"score_spread":0.266371488958821,"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."}}