{"id":"W4414464803","doi":"10.1101/2025.09.22.676358","title":"Mapping Risk and Conservation Potential Across the Indo-Pacific with Reefshark Genomescapes","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fondation Bertarelli","keywords":"Apex predator; Overfishing; Fishing; IUCN Red List; Population; Reef; Fisheries management; Coral reef; Marine protected area","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":[0.0003988751,0.0002269176,0.0001557856,0.001870907,0.0003915452,0.0005787864,0.0004231298,0.0002316855,0.001611155],"category_scores_gemma":[0.001502691,0.0000962218,0.000325704,0.002773301,0.0002564995,0.0002633093,0.0008677813,0.0002711774,0.0001983252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004555119,"about_ca_system_score_gemma":0.0004276262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05204682,"about_ca_topic_score_gemma":0.06861398,"domain_scores_codex":[0.999707,0.00003766992,0.00001836502,0.0001334509,0.0000495846,0.00005391358],"domain_scores_gemma":[0.9991125,0.0001727497,0.0003391503,0.0001009096,0.000162528,0.0001119794],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006399662,0.00001571194,0.9880791,0.00005390248,0.0001290256,0.0001497244,0.0004321144,0.0005256686,0.002091829,0.0001438499,0.0006967515,0.007618292],"study_design_scores_gemma":[0.000002248159,0.000009626709,0.9979365,0.00001289576,0.00003617265,0.00008310023,0.0004225605,0.0004585228,0.0001535602,0.0000515103,0.0008292227,0.000004190712],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992322,0.00008864189,0.0003940767,0.00005952213,0.000003444698,0.000009100895,0.00607767,0.00002019368,0.001025406],"genre_scores_gemma":[0.9885593,0.00007962241,0.001220976,0.00003906765,0.000004405795,0.00003243737,0.009643837,0.0000119614,0.0004084059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05204682,"threshold_uncertainty_score":0.1034878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007375588194578172,"score_gpt":0.1881349658815857,"score_spread":0.1807593776870076,"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."}}