{"id":"W6886952648","doi":"10.15468/dl.kn9xar","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); State (computer science); 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":[0.001020257,0.002020501,0.001564399,0.004829497,0.001043599,0.002543678,0.002950388,0.002235038,0.1505524],"category_scores_gemma":[0.005959366,0.0009228772,0.00119326,0.00921808,0.0004704066,0.00244244,0.002542966,0.002154853,0.2125658],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001639334,"about_ca_system_score_gemma":0.002315037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166192,"about_ca_topic_score_gemma":0.03722436,"domain_scores_codex":[0.998911,0.0001597753,0.000133758,0.0003859238,0.0002325984,0.0001769487],"domain_scores_gemma":[0.9973572,0.0007462244,0.0002433993,0.0007174861,0.0006386449,0.0002969549],"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":[0.00002762954,0.00001198045,0.0003509295,0.0004681837,0.00001361433,0.00001386214,0.00002188628,0.000127351,0.00009974472,0.0003691409,0.9972591,0.001236537],"study_design_scores_gemma":[0.00007526698,0.00000861049,0.001749518,0.000176688,0.0000136346,0.00003709191,0.00007536711,0.0001720132,0.000178602,0.0008408788,0.9966542,0.00001819607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000439269,0.00002623095,0.0000466421,0.00003894229,0.00001276741,0.000005458985,0.9987975,0.0003829903,0.0006454674],"genre_scores_gemma":[0.0001613759,0.00003001984,0.0001993554,0.00004635644,0.000003429291,0.00004137144,0.9989206,0.0001395614,0.0004579269],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8494476,"threshold_uncertainty_score":0.503648,"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."}}