{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001579551,0.0003115625,0.0002931472,0.000127621,0.0002146648,0.0000621376,0.0003798828,0.0003968491,0.000001284031],"category_scores_gemma":[0.001996228,0.0002304469,0.00006379819,0.0003204246,0.0002253655,0.00003926743,0.0002558411,0.0005007759,0.00001147382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004504138,"about_ca_system_score_gemma":0.00009891073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001053988,"about_ca_topic_score_gemma":0.001209281,"domain_scores_codex":[0.9975705,0.0005892068,0.0003471025,0.0006374852,0.000208549,0.0006471817],"domain_scores_gemma":[0.9986607,0.0004604721,0.0001415046,0.0005020661,0.0001044045,0.0001308762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009388689,0.0005627961,0.8221982,0.0002532905,0.0001597981,0.0001772476,0.01133334,0.0002911228,0.05565468,0.00161544,0.1051012,0.00255897],"study_design_scores_gemma":[0.001315357,0.0006253779,0.861525,0.00001776639,0.00005307381,0.0002019895,0.006264366,0.0002874503,0.002628425,0.000820452,0.1261905,0.00007018029],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869309,0.008453078,0.00001096406,0.0004964655,0.0005438872,0.0005123832,0.00001449644,0.00001805788,0.003019763],"genre_scores_gemma":[0.9951296,0.002647019,0.00009129391,0.0006317999,0.0005754802,0.0001009266,0.000116066,0.00002420131,0.0006836399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05302626,"threshold_uncertainty_score":0.9397353,"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."}}