{"id":"W2999730463","doi":"10.1071/mf18472","title":"Historical dynamics of the demersal fish community in the East and South China Seas","year":2020,"lang":"en","type":"article","venue":"Marine and Freshwater Research","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"","keywords":"Fishing; Fishery; Geography; Otter; Demersal zone; Abundance (ecology); Distribution (mathematics); Habitat; Estuary; China; Ecology; Oceanography; Biology","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":[0.001321372,0.00008278849,0.0001261109,0.00003016782,0.000318287,0.00005829749,0.0006163034,0.00004875318,0.001015293],"category_scores_gemma":[0.0001717982,0.000045926,0.00002810915,0.0004282586,0.0006151093,0.00007660377,0.003181981,0.001034395,0.000004891912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009611087,"about_ca_system_score_gemma":0.0000122688,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03783824,"about_ca_topic_score_gemma":0.04442808,"domain_scores_codex":[0.9980668,0.0007217427,0.0001517344,0.0001710553,0.0005744612,0.000314182],"domain_scores_gemma":[0.9994534,0.00009527834,0.00001963384,0.000314911,0.00001295273,0.0001037932],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006573628,0.0000554775,0.9770341,0.00003637344,0.000004393661,0.000007544949,0.006589444,0.000002398955,0.00004465924,0.00009990705,0.004059183,0.01200079],"study_design_scores_gemma":[0.0005866369,0.0003393735,0.8480777,0.000004951699,0.00000543531,0.00000951049,0.003064831,0.01408496,0.00003321739,0.001192592,0.1324655,0.0001353213],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9211044,0.000006440351,0.000006935824,0.02221043,0.00001191477,0.0002529898,0.00001337699,0.000004954617,0.05638857],"genre_scores_gemma":[0.9983016,0.00002673492,0.00004153466,0.000270758,0.0000257664,0.00001480749,0.000006969403,0.000007789356,0.001304069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1289564,"threshold_uncertainty_score":0.9998979,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06389536083164837,"score_gpt":0.2665870570908431,"score_spread":0.2026916962591947,"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."}}