{"id":"W6905854863","doi":"10.15468/dl.nh9ejh","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); Confidentiality; Order (exchange)","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":[0.001016285,0.002082468,0.00172191,0.00519876,0.001056443,0.002726445,0.002935908,0.00204764,0.1715232],"category_scores_gemma":[0.005914357,0.0009760616,0.001181048,0.01066506,0.0004713237,0.002476086,0.002686419,0.002151033,0.2396487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001570198,"about_ca_system_score_gemma":0.002354178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02071691,"about_ca_topic_score_gemma":0.03519869,"domain_scores_codex":[0.9989611,0.0001390356,0.0001278495,0.0003678859,0.0002337732,0.0001703375],"domain_scores_gemma":[0.997546,0.0006898141,0.0002261251,0.0006525104,0.0005925324,0.0002929435],"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":[0.00002791982,0.00001081197,0.000337893,0.000564541,0.00001457896,0.00001475284,0.00002512775,0.0001226492,0.0001202114,0.0003968038,0.99697,0.001394799],"study_design_scores_gemma":[0.00006483397,0.000006635555,0.001528034,0.0001747968,0.00001255978,0.0000317192,0.00006827012,0.000121894,0.000174437,0.0007699747,0.9970298,0.00001710153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003684356,0.00002502185,0.00004692402,0.00003076026,0.00001136629,0.000004862085,0.9988106,0.0003731487,0.000660493],"genre_scores_gemma":[0.0001519947,0.0000334483,0.0002099929,0.00004181429,0.000003434471,0.00004381327,0.9988393,0.0001794945,0.0004965554],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8284768,"threshold_uncertainty_score":0.5738024,"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."}}