{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001928548,0.001407204,0.001385204,0.01233095,0.000754134,0.001747617,0.002030791,0.001226958,0.02770889],"category_scores_gemma":[0.01223105,0.0006106529,0.0008211887,0.0180677,0.0003185126,0.0007900692,0.001779431,0.001341572,0.01022621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002405391,"about_ca_system_score_gemma":0.002860314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04619936,"about_ca_topic_score_gemma":0.06189333,"domain_scores_codex":[0.9968785,0.0003125465,0.000840667,0.0006640882,0.001003287,0.0003008627],"domain_scores_gemma":[0.9911242,0.002065494,0.003222671,0.0009174151,0.00205342,0.0006168174],"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":[0.0004660182,0.0001135592,0.0580081,0.003767138,0.0003334894,0.0001883785,0.0001679483,0.00152972,0.0003859328,0.00142605,0.9199796,0.01363399],"study_design_scores_gemma":[0.0006178225,0.00006946819,0.2193417,0.001177847,0.0003110867,0.0003883235,0.0002869476,0.001178502,0.001446254,0.0009853225,0.7741015,0.00009518622],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001696034,0.0001401254,0.00003601153,0.00005575081,0.000008122698,0.00001831935,0.9971831,0.00004411181,0.0008185056],"genre_scores_gemma":[0.004256094,0.0001523163,0.0002683684,0.00004195539,0.000009712975,0.0001733186,0.9943243,0.00002235309,0.0007515351],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04619936,"threshold_uncertainty_score":0.09269547,"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."}}