{"id":"W2127995473","doi":"10.1098/rstb.2004.1586","title":"Measuring marine fish biodiversity: temporal changes in abundance, life history and demography","year":2005,"lang":"en","type":"article","venue":"Philosophical Transactions of the Royal Society B Biological Sciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":209,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Demersal fish; Biology; Pelagic zone; Abundance (ecology); Population; Ecology; Demersal zone; Biodiversity; Fishery; Fishing; Demography","routes":{"ca_aff":true,"ca_fund":true,"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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005428971,0.0001105217,0.0001686798,0.00002496495,0.0003248238,0.00001541072,0.0004889912,0.0001236189,0.003146095],"category_scores_gemma":[0.00004149701,0.00007055709,0.0001573158,0.0004505294,0.002946008,0.0001074525,0.0002192192,0.0003080434,0.000005514687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001136073,"about_ca_system_score_gemma":0.00001667343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049971,"about_ca_topic_score_gemma":0.0005309846,"domain_scores_codex":[0.9987579,0.00009022721,0.0001646207,0.0003349195,0.0003660065,0.0002863462],"domain_scores_gemma":[0.9996015,0.0000900621,0.00005223143,0.0001215423,0.000008418494,0.000126202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002484669,0.0001682179,0.9814914,0.000009082632,0.00001252902,4.144293e-7,0.0001378024,0.0003441275,0.0001461426,0.00008119765,0.0003472483,0.01723699],"study_design_scores_gemma":[0.0006913609,0.000544411,0.9348095,0.00001449092,0.00002302878,0.000003464539,0.0002286335,0.009563779,0.0002499981,0.005224636,0.0481972,0.0004494646],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9298914,0.00008121169,0.0001775102,0.04686476,0.00008983489,0.0002545865,0.00001535915,0.00003786631,0.02258749],"genre_scores_gemma":[0.9974808,0.0002653301,0.001023334,0.001085016,0.0000422136,0.000009968971,8.120364e-7,0.000001853257,0.00009071232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06758937,"threshold_uncertainty_score":0.9997674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07639772949388972,"score_gpt":0.2322655619315226,"score_spread":0.1558678324376329,"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."}}