{"id":"W4252188291","doi":"10.21425/f58229605","title":"Oceanic archipelagos: a perspective on the geodynamics and biogeography of the World’s smallest biotic provinces","year":2016,"lang":"en","type":"article","venue":"Frontiers of Biogeography","topic":"Pacific and Southeast Asian Studies","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Department of Environment and Conservation","funders":"National Science Foundation","keywords":"Archipelago; Biogeography; Geodynamics; Geography; Perspective (graphical); Macroecology; Ecology; Economic geography; Oceanography; Biology; Geology; Paleontology; Mathematics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005657576,0.0001844424,0.000290041,0.0004234593,0.000577802,0.00002503123,0.0005392565,0.00007203317,0.00001049011],"category_scores_gemma":[0.0001609461,0.00008575081,0.0003847258,0.001300815,0.005050719,0.00005927305,0.0001041945,0.0001120246,0.000001496901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002998613,"about_ca_system_score_gemma":0.00008259089,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008995468,"about_ca_topic_score_gemma":0.0019235,"domain_scores_codex":[0.9983829,0.0002776089,0.0002501811,0.0003019821,0.0004363013,0.0003510406],"domain_scores_gemma":[0.9989004,0.0002405483,0.0002756203,0.0003559826,0.0001493236,0.00007812096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008949913,0.0001025831,0.7914332,0.00001048048,0.0003926879,5.694904e-7,0.01466527,1.235055e-7,0.00009300879,0.1883722,0.002723353,0.002116984],"study_design_scores_gemma":[0.0006964246,0.0002715404,0.6204556,0.0003087578,0.0002086194,7.176998e-7,0.3134716,0.000006095411,0.0003124033,0.05380503,0.01004065,0.0004225789],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8826832,0.007998526,0.0002026351,0.01834484,0.0009746372,0.001227789,0.000567828,0.00006873527,0.08793179],"genre_scores_gemma":[0.9986973,0.0006852926,0.0002395482,0.00005896525,0.00005561245,0.0000100439,5.438436e-7,0.000009721345,0.0002429104],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2988063,"threshold_uncertainty_score":0.9976569,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008485604566123016,"score_gpt":0.2309967452094646,"score_spread":0.2225111406433416,"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."}}