{"id":"W6906619015","doi":"10.17895/ices.pub.19280369.v1","title":"REPORT OF THE WORKING GROUP FOR REGIONAL ECOSYSTEM DESCRIPTION (WGRED)","year":2008,"lang":"en","type":"report","venue":"Figshare","topic":"","field":"","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Work (physics); Group (periodic table); Working group; Ecosystem","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":[0.0006022528,0.0005367643,0.0008584064,0.0002512774,0.0002795649,0.00006087371,0.0008169069,0.0007962543,0.009344109],"category_scores_gemma":[0.005207578,0.0004261781,0.001094476,0.0004939493,0.00001746934,0.000145795,0.0002856257,0.0005573122,0.001009542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402454,"about_ca_system_score_gemma":0.002211292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004903089,"about_ca_topic_score_gemma":0.0004113376,"domain_scores_codex":[0.9949572,0.000122712,0.00139828,0.0008463081,0.002167736,0.0005077532],"domain_scores_gemma":[0.9920308,0.0001604684,0.004325861,0.001543294,0.001836757,0.0001028256],"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":[0.00002205846,0.00004071139,0.0002403163,0.002268266,0.0001463376,0.0001994462,0.0000389896,0.00001344581,0.0000514081,0.000002656343,0.9966118,0.0003645416],"study_design_scores_gemma":[0.0002237629,0.00002599323,0.003950936,0.03753276,0.00009826469,0.007403326,0.00001211453,0.00004306177,0.00009740773,0.00001820931,0.9501768,0.0004173397],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002389043,0.006055928,0.00000423547,0.00003099426,0.001616263,0.003581536,0.9528226,0.0003539757,0.03529553],"genre_scores_gemma":[0.09072119,0.00005361913,0.0002067886,0.00002750094,0.003429366,0.002604135,0.8882182,0.0006051203,0.01413411],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09048229,"threshold_uncertainty_score":0.999819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.280220922866478,"score_gpt":0.3201942151302357,"score_spread":0.03997329226375768,"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."}}