{"id":"W6887111795","doi":"10.15468/dl.pphvnh","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.001041153,0.001931482,0.001554539,0.00511651,0.000990422,0.002686328,0.002827396,0.002033336,0.1846346],"category_scores_gemma":[0.006331021,0.0009340512,0.001191549,0.009635418,0.0004481742,0.002377416,0.002724446,0.002006848,0.2496532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591799,"about_ca_system_score_gemma":0.002530321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02179644,"about_ca_topic_score_gemma":0.03822103,"domain_scores_codex":[0.9989187,0.0001526082,0.0001445461,0.0003635867,0.000240355,0.0001803024],"domain_scores_gemma":[0.9972147,0.0007702045,0.000257261,0.0007575177,0.0006819181,0.0003184927],"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":[0.00002729442,0.00000934514,0.0002947756,0.0004874606,0.00001349104,0.00001259389,0.00002073128,0.00009487079,0.000100454,0.0003727823,0.9972839,0.001282322],"study_design_scores_gemma":[0.00006276408,0.000006408379,0.001455605,0.0001698772,0.00001276557,0.00003128631,0.00005529168,0.0001059215,0.0001683775,0.0007771004,0.9971381,0.00001637952],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003151697,0.00002218657,0.00004092574,0.00003328896,0.00001039785,0.000005008356,0.9988439,0.0003484178,0.0006643494],"genre_scores_gemma":[0.0001381451,0.00003135375,0.0001915947,0.00004745843,0.000003358732,0.00003980767,0.9988903,0.0001619396,0.0004960326],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8153654,"threshold_uncertainty_score":0.6176642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}