{"id":"W6962623599","doi":"10.15468/dl.ybyxbx","title":"Occurrence Download","year":2016,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Download; Identification (biology)","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":[0.0008670114,0.002080987,0.001625023,0.005317075,0.0008693815,0.002598338,0.002813192,0.001776263,0.145838],"category_scores_gemma":[0.005674531,0.0009070465,0.001178262,0.01120178,0.0003983211,0.002338536,0.002652053,0.00184615,0.2133943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589628,"about_ca_system_score_gemma":0.00255723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02474443,"about_ca_topic_score_gemma":0.04217369,"domain_scores_codex":[0.9989519,0.0001291557,0.0001407222,0.000364272,0.0002387528,0.0001751697],"domain_scores_gemma":[0.9976267,0.0005792082,0.0002581937,0.0006148986,0.0006359247,0.0002850456],"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":[0.00002906286,0.000009476135,0.0004044179,0.0004999491,0.00001517596,0.00001338378,0.00002097642,0.0001128336,0.0001051831,0.0004176952,0.9969552,0.001416619],"study_design_scores_gemma":[0.00005918164,0.000006928011,0.001780437,0.0001693135,0.00001382605,0.00003321363,0.00005212869,0.000120329,0.0001771663,0.0007533673,0.9968174,0.00001674494],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003754917,0.00002702714,0.00003807241,0.00002815813,0.00001047338,0.00000400219,0.9988754,0.000335048,0.0006441076],"genre_scores_gemma":[0.0001366279,0.00003593295,0.0001573313,0.00003744294,0.000003124391,0.00003046962,0.9989729,0.0001283547,0.0004977837],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.854162,"threshold_uncertainty_score":0.4878766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734962626846364,"score_gpt":0.227796013577581,"score_spread":0.2104463873091174,"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."}}