{"id":"W4387965168","doi":"10.1371/journal.pone.0293478","title":"An integrated system to assess marine extinctions","year":2023,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Comisión de Operación y Fomento de Actividades Académicas, Instituto Politécnico Nacional; Secretaría de Investigación y Posgrado, Instituto Politécnico Nacional; Consejo Nacional de Ciencia y Tecnología","keywords":"Biology; Extinction (optical mineralogy); Biodiversity; Ecology; Geography; Marine conservation; Population; Zoology; Paleontology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01128734,0.001243538,0.001290856,0.01405749,0.0009550001,0.004394293,0.001976096,0.001140573,0.007741151],"category_scores_gemma":[0.01887349,0.0007132931,0.001129835,0.007868189,0.0006775857,0.005550567,0.005535585,0.0009837722,0.002281413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002235265,"about_ca_system_score_gemma":0.003312801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01360371,"about_ca_topic_score_gemma":0.01120367,"domain_scores_codex":[0.992439,0.001667154,0.00124391,0.002328302,0.001965593,0.0003559699],"domain_scores_gemma":[0.9793372,0.00500848,0.002701252,0.003141148,0.008656952,0.001154941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008347903,0.0006714115,0.2652909,0.0008948868,0.0009045667,0.0003668593,0.003682646,0.03023777,0.008655012,0.01482064,0.0237236,0.6499169],"study_design_scores_gemma":[0.0002918462,0.001439002,0.2042443,0.0008458425,0.001221899,0.0009165647,0.003309827,0.5915313,0.01411852,0.03484393,0.1466465,0.0005904263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1199809,0.0006393657,0.7809662,0.0007654395,0.0002465022,0.002911609,0.02132271,0.04398557,0.02918176],"genre_scores_gemma":[0.3110828,0.0002828721,0.6608102,0.0003103134,0.0001126064,0.002527109,0.01907743,0.0006497597,0.005146865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01405749,"threshold_uncertainty_score":0.05969393,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0841184008238906,"score_gpt":0.2761750128115452,"score_spread":0.1920566119876546,"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."}}