{"id":"W6905838721","doi":"10.15468/dl.wskcpv","title":"Occurrence Download","year":2021,"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":[0.001033646,0.002029368,0.00172178,0.005689682,0.0009560283,0.002681884,0.002964862,0.001964713,0.1615968],"category_scores_gemma":[0.005724845,0.000966117,0.001184901,0.01126038,0.0004698582,0.00219266,0.002658028,0.002017635,0.2202633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656661,"about_ca_system_score_gemma":0.002564892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02267475,"about_ca_topic_score_gemma":0.03673043,"domain_scores_codex":[0.9988608,0.0001424726,0.0001479834,0.0003854059,0.0002706519,0.0001926677],"domain_scores_gemma":[0.9974493,0.000653995,0.0002606444,0.0007020224,0.0006107396,0.0003232241],"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":[0.00003139577,0.00001154501,0.0003752804,0.0005518285,0.00001690373,0.00001523552,0.00002358455,0.0001211506,0.0001389141,0.000395055,0.9968768,0.001442356],"study_design_scores_gemma":[0.0000685307,0.000007741687,0.001934475,0.000176578,0.00001556859,0.00003748124,0.00006518946,0.0001273469,0.0002263542,0.0006469832,0.9966768,0.00001685354],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003773542,0.00002351191,0.00003699201,0.00002792655,0.000009686915,0.00000465803,0.998973,0.0003304005,0.0005559503],"genre_scores_gemma":[0.0001340686,0.00002782228,0.0001474934,0.0000336686,0.00000277838,0.00003319346,0.9990968,0.0001174486,0.0004068366],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8384032,"threshold_uncertainty_score":0.5405953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"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."}}