{"id":"W6905889044","doi":"10.15468/dl.uc2k2q","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Order (exchange)","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":[0.001166216,0.001999587,0.001630641,0.005392303,0.0010262,0.002735165,0.002912051,0.002089565,0.1595725],"category_scores_gemma":[0.007041523,0.0009837694,0.001204581,0.0107649,0.0004650335,0.002341232,0.002578877,0.002014801,0.223181],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646887,"about_ca_system_score_gemma":0.002471411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02285587,"about_ca_topic_score_gemma":0.03592497,"domain_scores_codex":[0.9987883,0.0001699972,0.000162098,0.0004237155,0.0002657021,0.0001902551],"domain_scores_gemma":[0.9970642,0.0008725278,0.0002763114,0.000751707,0.0007246349,0.0003105654],"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":[0.00002750631,0.00001045575,0.0003720746,0.0005401117,0.00001573405,0.00001452165,0.00002404204,0.000122385,0.0001079806,0.0003806496,0.9970343,0.001350341],"study_design_scores_gemma":[0.00006709789,0.00000750447,0.001805137,0.0001977922,0.00001536169,0.00003608716,0.000073282,0.0001431071,0.0001768949,0.0007528965,0.9967067,0.00001804927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003454421,0.00002501538,0.00004555837,0.00003238324,0.00001089772,0.000004780141,0.9989421,0.0003399445,0.0005647349],"genre_scores_gemma":[0.0001445227,0.00003180134,0.0001910367,0.00004063126,0.000003307356,0.00004016153,0.9989893,0.0001442036,0.0004150735],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8404275,"threshold_uncertainty_score":0.5338233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}