{"id":"W6962819388","doi":"10.17895/ices.pub.25730247.v1","title":"Working Group on North Atlantic Salmon (WGNAS)","year":2024,"lang":"en","type":"report","venue":"Figshare","topic":"","field":"","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Fish stock; Submarine pipeline; North sea; European commission; Stock assessment; Baseline (sea)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001886088,0.0009674858,0.0008949813,0.0007246665,0.0001143906,0.0004393213,0.000827615,0.0007851517,0.1846866],"category_scores_gemma":[0.002003582,0.0009158318,0.000610539,0.001051303,0.000008467943,0.00008935588,0.0005816615,0.002158882,0.492732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001469618,"about_ca_system_score_gemma":0.0009112462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001239473,"about_ca_topic_score_gemma":0.001594085,"domain_scores_codex":[0.9944568,0.00008282215,0.0006812557,0.001432832,0.002451634,0.0008946377],"domain_scores_gemma":[0.9974026,0.0001819596,0.0006094082,0.001242121,0.0003109578,0.0002529628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001286561,0.00004820375,0.0004789252,0.002906471,0.0002076098,0.003693856,0.00003108287,0.00001591515,0.000004685832,0.000004226723,0.9901771,0.002419055],"study_design_scores_gemma":[0.00009287041,0.00006281406,0.004921657,0.08184893,0.0001561389,0.0001829525,0.000003261456,0.00002551626,0.000009444331,0.00001178992,0.9117806,0.0009040055],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004344319,0.008256893,1.867687e-8,0.00001808302,0.001575332,0.0008963649,0.6779631,0.001770472,0.3090853],"genre_scores_gemma":[0.179673,0.00004287958,0.00000728537,0.00005650665,0.002980807,0.0005286608,0.8026356,0.001016472,0.01305881],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3080454,"threshold_uncertainty_score":0.9993292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1402481835558272,"score_gpt":0.3217923374465718,"score_spread":0.1815441538907446,"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."}}