{"id":"W6967262510","doi":"10.48689/e3d68658-70e3-4620-a878-ea64110d1956","title":"Aggregated Geoduck Catch and Effort Grid 2000-2005","year":2006,"lang":"en","type":"dataset","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Fishing; Grid; Stock (firearms); Grid cell; Stock assessment","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":[0.0005986337,0.001380234,0.0008258499,0.003702687,0.00031813,0.001042898,0.001503517,0.0005303776,0.0174287],"category_scores_gemma":[0.002471865,0.000510748,0.0006441069,0.006780465,0.0001529119,0.0006971087,0.0008565452,0.0008411984,0.0124298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001385486,"about_ca_system_score_gemma":0.001778106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1074793,"about_ca_topic_score_gemma":0.1337505,"domain_scores_codex":[0.9993063,0.0000546894,0.0001061387,0.0002263756,0.0002029405,0.0001034889],"domain_scores_gemma":[0.9984791,0.0001266173,0.0004174605,0.0001981545,0.0006290296,0.0001497254],"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":[0.0001642532,0.00005798812,0.02099298,0.0006227286,0.0001428985,0.00006190572,0.00008023336,0.001872471,0.000190439,0.0009495899,0.968671,0.006193619],"study_design_scores_gemma":[0.0002465398,0.00005857593,0.2218014,0.0003220921,0.0000886765,0.0001487741,0.0002566454,0.002523665,0.0006613604,0.0005964816,0.7732424,0.00005350038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001076907,0.00001910827,0.00005971814,0.00001302121,0.000009472493,0.000009715613,0.9981738,0.00007270356,0.0005654642],"genre_scores_gemma":[0.001382206,0.00001847764,0.0001734799,0.0000101538,0.000002594244,0.00003145066,0.9977534,0.00001400549,0.0006141384],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1074793,"threshold_uncertainty_score":0.2137074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02316367919990221,"score_gpt":0.2999250310194044,"score_spread":0.2767613518195022,"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."}}