{"id":"W6943557326","doi":"10.15468/dl.takymb","title":"Occurrence Download","year":2023,"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); 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":[0.0009801409,0.002005257,0.001659834,0.005400516,0.001053079,0.002634107,0.002938032,0.002098755,0.1497615],"category_scores_gemma":[0.005931038,0.0009150408,0.001209007,0.01079993,0.0004640452,0.00230696,0.002565943,0.002017103,0.2080481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001793315,"about_ca_system_score_gemma":0.00270105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02976666,"about_ca_topic_score_gemma":0.04819544,"domain_scores_codex":[0.9988846,0.0001445706,0.0001475079,0.0003801136,0.0002565417,0.0001866482],"domain_scores_gemma":[0.9974049,0.0007137432,0.0002422805,0.000664655,0.0006724102,0.0003020669],"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":[0.00003031574,0.00001121797,0.0003672247,0.0005463619,0.00001533481,0.0000162018,0.00002415991,0.0001188661,0.0001201591,0.0003897173,0.9970248,0.001335615],"study_design_scores_gemma":[0.00006991742,0.000007566738,0.001887053,0.0001923317,0.00001464879,0.00003999317,0.00007374652,0.0001382008,0.0001888853,0.0007097942,0.9966588,0.00001889965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003841557,0.00002514055,0.00003899933,0.00003220061,0.00001017443,0.000004800841,0.9989381,0.0003384614,0.00057371],"genre_scores_gemma":[0.0001454488,0.00003111087,0.0001701116,0.00003981738,0.000002883006,0.00003425582,0.9990492,0.0001260571,0.0004011139],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8502386,"threshold_uncertainty_score":0.501002,"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."}}