{"id":"W2318852476","doi":"10.3354/meps10078","title":"Temporal, spatial, and interspecific variation in geochemical signatures within fish otoliths, bivalve larval shells, and crustacean larvae","year":2012,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"California Sea Grant, University of California, San Diego; Office of Naval Research; National Science Foundation","keywords":"Oceanography; Miami; Seascape; Geography; Bay; Biological dispersal; Population; Fishery; Ecology; Environmental science; Biology; Geology; Habitat","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000481266,0.0001950245,0.00024842,0.00007475312,0.0001215849,0.00009074632,0.0001651476,0.0002139219,0.004201506],"category_scores_gemma":[0.0001545717,0.0001781849,0.00002329067,0.0001595693,0.0008318184,0.0005972594,0.00130373,0.0003916102,0.00001396459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009003119,"about_ca_system_score_gemma":0.00001759824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009428258,"about_ca_topic_score_gemma":0.003125643,"domain_scores_codex":[0.9985158,0.0001436228,0.0002670544,0.0003740371,0.0001962269,0.0005032669],"domain_scores_gemma":[0.9994497,0.00007221426,0.00008657252,0.0001855476,0.0000145912,0.0001913547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001740569,0.0001663179,0.992592,0.00003585387,0.00001622581,0.0000215585,0.000933564,0.000001551102,0.0001507829,0.0001924172,0.001312081,0.004403568],"study_design_scores_gemma":[0.000439834,0.0002202278,0.9766588,0.000004489286,0.000009847193,0.00004504848,0.0002872992,0.0002855448,0.0003088907,0.0004728663,0.02105103,0.0002161671],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930151,0.00005546434,0.000001423646,0.001606448,0.0001488171,0.0003989954,0.000009246829,0.00004254117,0.004721984],"genre_scores_gemma":[0.9969891,0.0001179072,0.001581201,0.0001758742,0.00009316737,0.0000775194,0.00004963923,0.00001873384,0.000896905],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01973895,"threshold_uncertainty_score":0.9967088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008791011785756326,"score_gpt":0.232233969104613,"score_spread":0.2234429573188566,"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."}}