{"id":"W7133277879","doi":"","title":"Science Response : 2023 BC Geoduck Stock Status Update","year":2022,"lang":"en","type":"other","venue":"Federal Open Science Repository of Canada / Le Dépôt fédéral de science ouverte du Canada","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Stock (firearms); Habitat; Stock assessment; Population; Fisheries management; Fishing","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001144991,0.0006127423,0.0006665394,0.001977894,0.002178168,0.002399672,0.001266348,0.004270934,0.3308106],"category_scores_gemma":[0.0076402,0.0003396261,0.0003909102,0.001527327,0.0004512024,0.001263203,0.001941166,0.003050422,0.1646326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003933049,"about_ca_system_score_gemma":0.007993018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1462832,"about_ca_topic_score_gemma":0.2494917,"domain_scores_codex":[0.998723,0.00008321325,0.00008048707,0.0001016899,0.0007910058,0.0002205822],"domain_scores_gemma":[0.9901885,0.0004287058,0.0002837144,0.0003140537,0.007473322,0.001311627],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001817778,0.000006797809,0.0001606753,0.00002951758,7.893086e-7,0.00001102588,0.000004382027,0.000007094583,0.0000306585,0.00009088907,0.9936008,0.006039095],"study_design_scores_gemma":[0.00001620561,0.000006401137,0.001878829,0.00006160227,0.000001347983,0.000009537284,0.00003679976,0.00004558231,0.000048969,0.0001434616,0.9977443,0.000007155375],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.004259497,0.00186837,0.0009593064,0.1466743,0.05502729,0.001694242,0.2291235,0.005210883,0.5551826],"genre_scores_gemma":[0.01144211,0.001401377,0.001742308,0.05423232,0.007163792,0.001224515,0.08561593,0.0008023647,0.8363752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8537169,"threshold_uncertainty_score":0.9545175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00944714172500056,"score_gpt":0.2447119067055857,"score_spread":0.2352647649805852,"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."}}