{"id":"W7133510359","doi":"10.48336/230","title":"Investigating the presence of abandoned, lost, and discarded fishing gear (ALDFG) to protect golden cod in the Gilbert Bay MPA","year":2025,"lang":"en","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bay; Fishing; Commercial fishing; Population; Context (archaeology); Fisheries management; Trawling","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001503919,0.0001047685,0.0001121721,0.001130834,0.001099575,0.001223624,0.0005100364,0.0002807032,0.001334079],"category_scores_gemma":[0.002560754,0.00009876046,0.00008175754,0.00101989,0.001047432,0.001080348,0.001183287,0.0002865195,0.0001102179],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00180255,"about_ca_system_score_gemma":0.002387748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.061292,"about_ca_topic_score_gemma":0.260305,"domain_scores_codex":[0.9994915,0.0001484616,0.00003704832,0.00007463097,0.0001439591,0.0001045032],"domain_scores_gemma":[0.9980462,0.000719064,0.0007850988,0.00005206568,0.0002264857,0.0001710046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005533061,0.0000548489,0.7988601,0.0009393062,0.00003208346,0.002465819,0.1026441,0.00009007412,0.002557287,0.001364694,0.001988744,0.08894761],"study_design_scores_gemma":[0.000001991109,0.00006372979,0.6776457,0.0005823236,0.00002634061,0.0004194429,0.3057485,0.00009054842,0.0004506834,0.0001593981,0.01480031,0.00001095771],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936926,0.0005091936,0.00008867853,0.0004439349,0.000006595118,0.00001633231,0.0001014791,0.000002000989,0.005139101],"genre_scores_gemma":[0.9965926,0.001295507,0.0004103875,0.000207482,0.000005121788,0.00001972588,0.0001011267,0.000001907293,0.001366174],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.061292,"threshold_uncertainty_score":0.1218705,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03580237428592695,"score_gpt":0.3063478511706422,"score_spread":0.2705454768847153,"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."}}