{"id":"W6967192211","doi":"10.5281/zenodo.10248763","title":"Lutjanus cyanopterus","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Fish biology, ecology, and behavior","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estuary; Population; Littoral zone; Distribution (mathematics); Identification (biology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007181834,0.0004460389,0.0001909455,0.0008744602,0.0006344803,0.0001228436,0.0001907159,0.00009568781,0.01372882],"category_scores_gemma":[0.0001764182,0.0001193746,0.00008105331,0.000390315,0.0001278673,0.0002308591,0.0003122322,0.0001410039,0.002715203],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002874662,"about_ca_system_score_gemma":0.000125834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01225144,"about_ca_topic_score_gemma":0.06249582,"domain_scores_codex":[0.9999527,0.000007050378,0.000003042059,0.00001840583,0.00001052428,0.000008292304],"domain_scores_gemma":[0.9999187,0.00001065289,0.00004065382,0.000006079147,0.00001299714,0.00001092327],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006926535,0.0001428532,0.1824457,0.001348261,0.0001071483,0.001027691,0.002258583,0.0007305665,0.03882209,0.003031665,0.1167762,0.6526166],"study_design_scores_gemma":[0.00002819001,0.000137822,0.7461611,0.0001899478,0.00007523546,0.001073416,0.0003538555,0.000243378,0.001397103,0.0002428549,0.2500755,0.00002157862],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6697951,0.01118643,0.002063607,0.0006432537,0.0007240722,0.0001939355,0.01559043,0.001550087,0.2982531],"genre_scores_gemma":[0.9122617,0.002856338,0.003717954,0.000595397,0.0001749441,0.0001544782,0.00389676,0.00009699551,0.07624558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01372882,"threshold_uncertainty_score":0.04592752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0377863599066806,"score_gpt":0.2492522061560956,"score_spread":0.211465846249415,"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."}}