{"id":"W2155534659","doi":"10.1186/2041-9139-5-46","title":"Echinoderm conundrums: Hox genes, heterochrony, and an excess of mouths","year":2014,"lang":"en","type":"article","venue":"EvoDevo","topic":"Echinoderm biology and ecology","field":"Agricultural and Biological Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Heterochrony; Hox gene; Biology; Mesoderm; Developmental biology; Echinoderm; Evolutionary developmental biology; Evolutionary biology; Ectoderm; Body plan; Anatomy; Paleontology; Ontogeny; Embryo; Genetics; Gene; Embryogenesis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002255641,0.0001138791,0.0002098111,0.000009775079,0.0001395342,0.00001399315,0.0002015797,0.0001708374,0.0003357385],"category_scores_gemma":[0.00002994786,0.00004583412,0.00003812424,0.0000636176,0.0001653631,0.0001021161,0.00007799843,0.0000908818,0.00001847454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005377482,"about_ca_system_score_gemma":0.000003920508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003867539,"about_ca_topic_score_gemma":0.004710863,"domain_scores_codex":[0.9991331,0.0001370367,0.0001765643,0.0002675331,0.00005899856,0.0002268237],"domain_scores_gemma":[0.9995899,0.0001409333,0.00008299152,0.00007139924,0.00002977349,0.00008502611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004942854,0.0001420529,0.6245728,0.00002227882,0.00002385043,0.000002309633,0.0002271231,0.00001077149,0.2764993,0.003164143,0.0002376609,0.09504823],"study_design_scores_gemma":[0.0003704262,0.0009977504,0.9679639,0.00001274493,0.00002008899,0.00003552639,0.0002037673,0.001391919,0.01265298,0.007441492,0.008583149,0.0003262778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972874,0.0003881869,0.00002756976,0.0004200186,0.0001233291,0.00007715919,0.00001685574,0.00004273986,0.001616733],"genre_scores_gemma":[0.9990212,0.00005531972,0.000121864,0.0004025963,0.0001721272,0.000004825066,0.00004284671,8.783182e-7,0.0001783668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.343391,"threshold_uncertainty_score":0.3676101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01056943385644273,"score_gpt":0.2172328408803628,"score_spread":0.2066634070239201,"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."}}