{"id":"W1503267303","doi":"10.1002/ece3.1511","title":"Exploring seascape genetics and kinship in the reef sponge <i><scp>S</scp>tylissa carteri</i> in the <scp>R</scp>ed <scp>S</scp>ea","year":2015,"lang":"en","type":"article","venue":"Ecology and Evolution","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"King Abdullah University of Science and Technology; National Geographic Society","keywords":"Seascape; Kinship; Sponge; Biology; Reef; Fishery; Evolutionary biology; Zoology; Genetics; Ecology; Anthropology; Habitat; Sociology; Botany","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002546442,0.0001533776,0.0002502058,0.001563148,0.0006543298,0.0002945873,0.0002489767,0.0002996635,0.001078916],"category_scores_gemma":[0.0003630013,0.0001509409,0.0003288832,0.0006930643,0.0004746421,0.0001914014,0.0005053258,0.0003230774,0.0001246562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005506074,"about_ca_system_score_gemma":0.0003500077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01871341,"about_ca_topic_score_gemma":0.05823916,"domain_scores_codex":[0.9998819,0.00002091513,0.000007934249,0.00005024653,0.00001795719,0.00002102913],"domain_scores_gemma":[0.9995808,0.00008975885,0.000150095,0.00002084095,0.00005550303,0.0001029817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003140109,0.0001071302,0.7644415,0.0001025364,0.0001851596,0.0006281246,0.00290681,0.0006578729,0.2202052,0.0002575406,0.0001028719,0.01009116],"study_design_scores_gemma":[0.000003367986,0.00005936656,0.9980971,0.000004265849,0.00001577498,0.0001152028,0.0006135042,0.0003675828,0.0005839096,0.00001965103,0.0001132419,0.000007126675],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997659,0.00001547878,0.00007225139,0.000004549897,4.400779e-7,0.000002016709,0.00002882523,0.000001495704,0.0001089835],"genre_scores_gemma":[0.9995947,0.00001328611,0.000186046,0.000007651723,6.723355e-7,0.000004996714,0.00005458767,0.000001505504,0.0001365364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01871341,"threshold_uncertainty_score":0.03720897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624928022309574,"score_gpt":0.2384130231814565,"score_spread":0.2021637429583607,"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."}}