{"id":"W6924456548","doi":"10.15468/dl.zpa9z8","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":[0.00102994,0.002012355,0.00159583,0.005202342,0.0009968793,0.002528819,0.002933126,0.002087232,0.1541674],"category_scores_gemma":[0.005816164,0.0009155658,0.00117763,0.01020414,0.0004726158,0.002326733,0.002540783,0.00205901,0.2146856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001577148,"about_ca_system_score_gemma":0.002253051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02021231,"about_ca_topic_score_gemma":0.03378933,"domain_scores_codex":[0.9989673,0.0001455292,0.0001315504,0.0003640174,0.0002188584,0.0001727068],"domain_scores_gemma":[0.9975597,0.00069716,0.0002375567,0.0006511046,0.0005742579,0.0002802088],"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":[0.00002894385,0.00001199773,0.0003821619,0.0005629287,0.00001598407,0.00001568219,0.00002516491,0.0001420107,0.0001267747,0.0004025734,0.9968973,0.001388374],"study_design_scores_gemma":[0.00007150705,0.000008036506,0.001797264,0.0001890675,0.00001475011,0.00003732844,0.00007464267,0.0001513625,0.000184355,0.0007921271,0.9966619,0.0000176756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004455835,0.00002833552,0.00004713981,0.00003433942,0.00001259175,0.000005245214,0.9988231,0.0003606365,0.0006440118],"genre_scores_gemma":[0.0001567511,0.00003243536,0.0001908253,0.00004167496,0.000003420165,0.00004056401,0.9989702,0.0001386931,0.0004255361],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8458326,"threshold_uncertainty_score":0.5157413,"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."}}