{"id":"W4413756509","doi":"10.1111/faf.70017","title":"Leveraging Earth Observation Data to Monitor Boat‐Based Recreational Fishing","year":2025,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Continental (Canada)","funders":"Organismo Autónomo Parques Nacionales; Generalitat Valenciana; Organismo Autónomo de Parques Nacionales","keywords":"Fishing; Fishery; Recreational fishing; Recreation; Earth (classical element); Environmental science; Remote sensing; Geography; Ecology; Biology; Physics","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":[0.0004126936,0.0002448012,0.0001797352,0.001530025,0.0001465286,0.0004242225,0.0002568879,0.0002618328,0.0008167307],"category_scores_gemma":[0.0008550733,0.0001155573,0.0001490717,0.001254625,0.0001348808,0.0004763292,0.0003023896,0.0002229895,0.0002989903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001996065,"about_ca_system_score_gemma":0.0001880538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01349613,"about_ca_topic_score_gemma":0.04112724,"domain_scores_codex":[0.9998536,0.00002722798,0.00001325376,0.00004632064,0.00004073888,0.0000188021],"domain_scores_gemma":[0.9991648,0.0001868619,0.0003018183,0.00009180023,0.0001932558,0.00006139529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001503563,0.0001986036,0.9228885,0.00009786672,0.0001538826,0.0000870849,0.0001638753,0.01028622,0.01806933,0.0001173617,0.001162483,0.04662441],"study_design_scores_gemma":[0.000009511398,0.00009388282,0.9567263,0.00002262794,0.00004593041,0.00005777695,0.0002333295,0.03879526,0.002751818,0.0001355553,0.001111884,0.00001614054],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884554,0.000151097,0.004705429,0.00005266736,0.00001774669,0.0000417783,0.004129353,0.0001543151,0.002292172],"genre_scores_gemma":[0.9879971,0.0001106737,0.008489422,0.0000297558,0.00001660803,0.000034431,0.002809123,0.00001577492,0.0004970545],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01349613,"threshold_uncertainty_score":0.02683514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07054195008173164,"score_gpt":0.2813236222659225,"score_spread":0.2107816721841909,"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."}}