{"id":"W2145784841","doi":"10.1088/0954-898x_14_2_308","title":"Modular organization of adaptive colouration in flounder and cuttlefish revealed by independent component analysis","year":2003,"lang":"en","type":"article","venue":"Network Computation in Neural Systems","topic":"Blind Source Separation Techniques","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institute for Theoretical Astrophysics","keywords":"Camouflage; Cuttlefish; Independent component analysis; Modularity (biology); Modular design; Component (thermodynamics); Independence (probability theory); FastICA; Artificial intelligence; Computer science; Pattern recognition (psychology); Biology; Evolutionary biology; Mathematics; Fishery; Statistics; Blind signal separation; Telecommunications","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":[0.0001567513,0.0001349149,0.0001482103,0.0005917755,0.0001097897,0.0002843225,0.000151162,0.0001835105,0.0004447802],"category_scores_gemma":[0.0008223852,0.0001410807,0.0001733783,0.0002906978,0.0006181087,0.0002780686,0.0002695359,0.0002084674,0.00009240826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001618367,"about_ca_system_score_gemma":0.0001296448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135692,"about_ca_topic_score_gemma":0.001395637,"domain_scores_codex":[0.999935,0.00001114572,0.000003493035,0.00002352652,0.00001334988,0.0000135407],"domain_scores_gemma":[0.9997671,0.0000505295,0.00006463801,0.00004032999,0.00005424246,0.00002313773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002910032,0.00004886312,0.04882791,0.00009771464,0.000102299,0.0003921257,0.0009291425,0.01135103,0.7755311,0.004670407,0.0005769699,0.1571814],"study_design_scores_gemma":[0.00003279266,0.0001325117,0.8805223,0.00002137191,0.00007465357,0.0005344945,0.0002188853,0.07646256,0.03114039,0.009181129,0.001609665,0.0000692946],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9652789,0.0001957802,0.03316895,0.00007060001,0.000006233719,0.00001358011,0.00005146808,0.00007812102,0.001136346],"genre_scores_gemma":[0.9826072,0.00009013779,0.01661179,0.00002582483,0.000006699069,0.00001499388,0.00008217273,0.00002374401,0.0005373767],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001135692,"threshold_uncertainty_score":0.002258182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01098015979369615,"score_gpt":0.2312266344004222,"score_spread":0.220246474606726,"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."}}