{"id":"W6924313708","doi":"10.15468/dl.p3rhh4","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":"Matching (statistics); Range (aeronautics); Download; Set (abstract data type); Identification (biology)","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":[0.0009780239,0.002125077,0.001691222,0.004992435,0.0009825872,0.002681924,0.002886445,0.001940373,0.1670588],"category_scores_gemma":[0.006003619,0.0009926249,0.001258617,0.009907461,0.0004243127,0.002379723,0.002681657,0.001936986,0.2298164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518619,"about_ca_system_score_gemma":0.002399623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02006216,"about_ca_topic_score_gemma":0.03484401,"domain_scores_codex":[0.9988647,0.0001584717,0.0001512029,0.0004093339,0.0002320368,0.0001842263],"domain_scores_gemma":[0.9974595,0.0006854768,0.0002434804,0.0006636877,0.0006495083,0.0002983776],"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":[0.00003313765,0.00001079406,0.000346013,0.0005638023,0.00001568127,0.00001319565,0.00001979291,0.0001116846,0.0001099642,0.000356216,0.9970642,0.001355432],"study_design_scores_gemma":[0.0000764783,0.000009125374,0.001698999,0.0001818673,0.00001543026,0.00003448001,0.00005595832,0.000132018,0.0001757213,0.0007893552,0.9968119,0.00001864371],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003554014,0.00002627379,0.00003847972,0.00003087112,0.00001139766,0.000004906089,0.9989453,0.0003210755,0.0005862804],"genre_scores_gemma":[0.0001382854,0.00003505027,0.0001816742,0.00005022644,0.000003602398,0.00004096561,0.9989209,0.0001363221,0.0004929748],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8329412,"threshold_uncertainty_score":0.5588673,"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."}}