{"id":"W6948507956","doi":"10.5063/aa/nceas.302.1","title":"Impacts of Biodiversity loss on ocean ecosystem services data","year":2006,"lang":"en","type":"dataset","venue":"UC Santa Barbara","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Biodiversity; Marine biodiversity; Ecosystem; Marine ecosystem; Ecosystem services; Ecosystem-based management; Estuary","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009450269,0.001059565,0.001445331,0.0008792376,0.0002108321,0.000173884,0.006175546,0.0008093617,0.0007020729],"category_scores_gemma":[0.00006784484,0.001013852,0.0002297151,0.0007489609,0.0001547664,0.0006575078,0.002555334,0.0008052192,0.02735424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004177606,"about_ca_system_score_gemma":0.0003069806,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02039641,"about_ca_topic_score_gemma":0.01385813,"domain_scores_codex":[0.9945784,0.0003739039,0.0009489281,0.001678738,0.001474766,0.0009452401],"domain_scores_gemma":[0.9905552,0.0002124042,0.001454069,0.00722457,0.0001933125,0.000360454],"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":[0.000280371,0.0004313357,0.005990633,0.002677144,0.0003343493,0.0003817464,0.0000233017,0.00001422639,0.00003938558,0.000001032546,0.989816,0.00001048131],"study_design_scores_gemma":[0.001093696,0.0001800842,0.003943714,0.001127678,0.0008059358,0.00005742437,0.00007288624,0.00005678323,0.000265227,0.000004446494,0.9914151,0.0009769984],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.07851032,0.0005681491,9.359579e-8,0.00001909156,0.0006648877,0.0006589951,0.9192174,0.0001744491,0.0001866159],"genre_scores_gemma":[0.0159885,0.0002100096,0.00001566998,0.0001627774,0.0004161885,0.000001553774,0.9830977,0.00009317689,0.0000144445],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06388029,"threshold_uncertainty_score":0.9992312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02418215122823591,"score_gpt":0.2666516287872538,"score_spread":0.2424694775590179,"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."}}