{"id":"W6961997697","doi":"10.15468/dl.zfr3lz","title":"Occurrence Download","year":2020,"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); Identification (biology); Confidentiality","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":[0.000876473,0.001744113,0.001407423,0.005039639,0.0009174931,0.002507285,0.002705106,0.001734608,0.186771],"category_scores_gemma":[0.005848475,0.0009197342,0.001101012,0.01105532,0.0004094455,0.002269991,0.002328231,0.0019956,0.248608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612373,"about_ca_system_score_gemma":0.002395105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02638239,"about_ca_topic_score_gemma":0.03982254,"domain_scores_codex":[0.9990026,0.0001296828,0.0001249016,0.0003479696,0.0002330101,0.000161697],"domain_scores_gemma":[0.9976466,0.0006508897,0.0002111741,0.0005993253,0.0006268369,0.0002650777],"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":[0.00002284985,0.000008749053,0.0003323703,0.0004104685,0.00001167025,0.00001168999,0.00002030738,0.0001078285,0.0000749197,0.0003421331,0.9972281,0.00142887],"study_design_scores_gemma":[0.00005381977,0.000005877979,0.001566404,0.0001498162,0.00001149476,0.0000285272,0.0000672758,0.0001366562,0.0001526032,0.0006758017,0.997138,0.0000136792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003246257,0.00002023914,0.000039969,0.00003237956,0.000009630886,0.000004044749,0.9988733,0.0003135099,0.0006743988],"genre_scores_gemma":[0.0001478629,0.00003256528,0.0001837206,0.00004069135,0.000003155594,0.00003715275,0.9987441,0.0001535648,0.0006571559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.813229,"threshold_uncertainty_score":0.6248114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}